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A Benchmark for Spray from Nearby Cutting Vehicles [article]

Stefanie Walz, Mario Bijelic, Florian Kraus, Werner Ritter, Martin Simon, Igor Doric
<span title="2021-08-24">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The analysis covers an automotive RGB camera and two different LiDAR systems, as well as downstream detection algorithms based on YOLOv3 and PV-RCNN.  ...  In a common scenario of a closely cutting vehicle, it is visible that the distortions are severely affecting the perception stack up to four seconds showing the necessity of benchmarking the influences  ...  ACKNOWLEDGMENT The research leading to these results is funded by the Federal Ministry for Economic Affairs and Energy within the project "VVM-Verification and Validation Methods for Automated Vehicles  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.10800v1">arXiv:2108.10800v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dlxlkucx3fharg7trcpfehvc4y">fatcat:dlxlkucx3fharg7trcpfehvc4y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210830222350/https://arxiv.org/pdf/2108.10800v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/78/dc78baf327c06e06c513533971fc3df899b76bb5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.10800v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Traffic situation estimator for Adaptive Cruise Control

Tianyi Yu, Jenny Eden, Cristofer Englund, Tony Larsson
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4pfxdmp3urc5rbpwp5xxnz7zve" style="color: black;">2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)</a> </i> &nbsp;
The behaviour of the detected vehicles is then analysed in a state machine driven counter to estimate the traffic rhythm and determine if the detected vehicles are approaching, getting away, have been  ...  If the user is not following the traffic rhythm the application will give advice to the user how to adapt to the traffic rhythm by driving faster, slower or optionally suggest to overtake vehicles ahead  ...  There are six states in this state machine: N -Neutral D F -Detected fast vehicle D S -Detected slow vehicle A -Adapt the speed to the surrounding B -Being overtaken O -Overtake implement the traffic  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wowmom.2016.7523567">doi:10.1109/wowmom.2016.7523567</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wowmom/YuEEL16.html">dblp:conf/wowmom/YuEEL16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oz2rwjbqbfdidfh3nqfsmyqpcu">fatcat:oz2rwjbqbfdidfh3nqfsmyqpcu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320001307/http://hh.diva-portal.org/smash/get/diva2:885905/FULLTEXT01" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5a/85/5a85da4e9bf32007ea102b5fbeab0998661a05ee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wowmom.2016.7523567"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Adaptive Cruise Control Employing Taillight Tracking for a Platoon of Autonomous Vehicles

Gian Paolo T, Ateneo de Manila University, Quezon City, Philippines
<span title="2019-06-25">2019</span> <i title="The World Academy of Research in Science and Engineering"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/naqzxq5hurh2bp2pnvwitnnx44" style="color: black;">International Journal of Advanced Trends in Computer Science and Engineering</a> </i> &nbsp;
This is achieved by detecting the leading vehicle's taillight via linear AND-ing of the the RGB and HSV color model representations.  ...  We propose a taillight tracking system by utilizing low-cost dashboard cameras for detecting the position of the lead vehicle and then allow autonomous vehicles to correctly accelerate or decelerate depending  ...  Another possible solution is to use monitoring road cameras to determine on-road vehicle occlusions [18] and roadside units for data dissemination [19] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijatcse/2019/48832019">doi:10.30534/ijatcse/2019/48832019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4kznts7razci3cxs6fxdauf5p4">fatcat:4kznts7razci3cxs6fxdauf5p4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220227105211/http://www.warse.org/IJATCSE/static/pdf/file/ijatcse48832019.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ff/cf/ffcf4ed1ec77163914fc8bcbaac958d27b1dff21.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30534/ijatcse/2019/48832019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Vision on Wheels: Looking at Driver, Vehicle, and Surround for On-Road Maneuver Analysis

Eshed Ohn-Bar, Ashish Tawari, Sujitha Martin, Mohan M. Trivedi
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ilwxppn4d5hizekyd3ndvy2mii" style="color: black;">2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops</a> </i> &nbsp;
In this work, we propose a real-time framework for early detection of driver maneuvers.  ...  Evaluation is performed on a real-world dataset with overtaking maneuvers, showing promising results.  ...  Given a set of training instances and signal channel c l , a kernel function is calculated for each channel, κ c l (x i , x j ) : R d × R d → R (d is the feature dimension and x i , x j are two data points  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvprw.2014.33">doi:10.1109/cvprw.2014.33</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cvpr/Ohn-BarTMT14.html">dblp:conf/cvpr/Ohn-BarTMT14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yxvxxehfd5gz7bd2kewwpcvpca">fatcat:yxvxxehfd5gz7bd2kewwpcvpca</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922000941/http://cvrr.ucsd.edu/publications/2014/OhnbarTawariMartinTrivedi_CVPRW2014.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9f/dc/9fdc40c3bfe2c7a6f0484ad6989fd18c0e51de11.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvprw.2014.33"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk Estimation

JunLan Chen, Ke Wang, Huanhuan Bao, Tao Chen
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In detail, for the purpose of extending the awareness of the surrounding environment, the lane markings in front of ego vehicle were detected and modeled with Bezier curve using an onboard camera.  ...  , nearby vehicles and others.  ...  In order to plan an overtaking manoeuvre safely, the ego vehicle uses environment perception data and subject vehicle state data to check feasibility of the manoeuvre and design a collision free and safe  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2922113">doi:10.1109/access.2019.2922113</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pulyibwxwvdobolc6l2dtjskma">fatcat:pulyibwxwvdobolc6l2dtjskma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429035804/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08734074.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/10/8a/108af1f390a1116ac66a773ac7b8e9f7f2a3f101.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2922113"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Fully Convolutional Neural Network for Malaysian Road Lane Detection

N. J. Zakaria, H. Zamzuri, M. H. Ariff1, M. I. Shapiai, S. A. Saruchi, N. Hassan
<span title="2018-10-02">2018</span> <i title="Science Publishing Corporation"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/piy2nrvrjrfcfoz5nmre6zwa4i" style="color: black;">International Journal of Engineering &amp; Technology</a> </i> &nbsp;
Then, the collected data is used to test the performance of the FCN network in detecting the lane markings on Malaysia road.  ...  In addition, the real-time data collection has been conducted to collect the data sets for the testing at the highway and urban areas in Malaysia.  ...  (a) The existence of shadow (b) The existence of a sign markings on the road (c) Vehicle overtaking (d) Slightly curved road (e) Different colour of the road lane (f) Vehicle overtaking at night (g) The  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i4.11.20792">doi:10.14419/ijet.v7i4.11.20792</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cygdcd5pi5fw5pc5ltu2gmy2ky">fatcat:cygdcd5pi5fw5pc5ltu2gmy2ky</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181007120143/http://www.sciencepubco.com:80/index.php/ijet/article/download/20792/9767" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b0/52/b0524b9c87c38b64cbd20e53b6d0c307eeec421b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i4.11.20792"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Predicting driver maneuvers by learning holistic features

Eshed Ohn-Bar, Ashish Tawari, Sujitha Martin, Mohan M. Trivedi
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7cbpwi7j75hgfoparrxqyf2c2i" style="color: black;">2014 IEEE Intelligent Vehicles Symposium Proceedings</a> </i> &nbsp;
As a case study, driver activity recognition and prediction in overtaking situations is performed using a naturalistic, on-road dataset.  ...  The cues are processed and fused using a latent-dynamic discriminative framework.  ...  Lane Signal A front-observing gray-scale camera is used for lane marker detection and tracking using a built-in system. The system can detect up to four lane boundaries.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ivs.2014.6856612">doi:10.1109/ivs.2014.6856612</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ivs/Ohn-BarTMT14.html">dblp:conf/ivs/Ohn-BarTMT14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4s3qll5xyfa2zm2244ik3jf3ia">fatcat:4s3qll5xyfa2zm2244ik3jf3ia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705061552/http://cvrr.ucsd.edu/publications/2014/holistic.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e3/bf/e3bf64436b5d61e8f9f4907d7601b7a009636fdc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ivs.2014.6856612"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

On surveillance for safety critical events: In-vehicle video networks for predictive driver assistance systems

Eshed Ohn-Bar, Ashish Tawari, Sujitha Martin, Mohan M. Trivedi
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dsarpzh6wfgadnyijwv5l6gh2i" style="color: black;">Computer Vision and Image Understanding</a> </i> &nbsp;
Real-time and early prediction of maneuvers is emphasized, specifically overtake and brake events.  ...  Temporal activities are learned from a multi-camera head pose estimation module, hand and foot tracking, ego-vehicle parameters, lane and road geometry analysis, and surround vehicle trajectories.  ...  R (d is the feature dimension and x i ; x j are two data points).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cviu.2014.10.003">doi:10.1016/j.cviu.2014.10.003</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nzrghpwsg5fmnjwoebzyhpbpmq">fatcat:nzrghpwsg5fmnjwoebzyhpbpmq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809111035/http://cvrr.ucsd.edu/publications/2014/cviu_preprint.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a7/34/a7341c2262888bc59f80df9fe61dbdd8a8397bf1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cviu.2014.10.003"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Navigating an Automated Driving Vehicle via the Early Fusion of Multi-Modality

Malik Haris, Adam Glowacz
<span title="2022-02-13">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
On the other hand, we used the end-to-end driving method to assign raw sensor data directly to vehicle control signals.  ...  The latter is less well-studied but is becoming more popular since it is easier to use. This article focuses on end-to-end autonomous driving, using RGB pictures as the primary sensor input data.  ...  We explore RGB-D via early fusion of the single model, such as RGB image and depth (D).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s22041425">doi:10.3390/s22041425</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35214327">pmid:35214327</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8878300/">pmcid:PMC8878300</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g7ti567yn5h6jbxbazzeoprnt4">fatcat:g7ti567yn5h6jbxbazzeoprnt4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220426132239/https://mdpi-res.com/d_attachment/sensors/sensors-22-01425/article_deploy/sensors-22-01425-v2.pdf?version=1645098402" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/20/4f/204f6819b1a601bda7175f80317734e894febfc1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s22041425"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878300" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Illumination Correction in a Comparative Analysis of Feature selection for Rear-View Vehicle Detection

S. Baghdadi, National School of Applied Sciences, Khouribga, Sultan Moulay Slimane University, Morocco, N. Aboutabit
<span title="">2019</span> <i title="EJournal Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2uckwik5xjerdg36acn26gjq6e" style="color: black;">International Journal of Machine Learning and Computing</a> </i> &nbsp;
Our approach is based on two main phases: Line Detection and Vehicle Detection. In this work, we focus on the vehicle detection stage.  ...  Automatic detection of this violation can be a challenging issue. Thus, we aim to develop a computer vision system to robustly detect forbidden overtaking observed from a fixed camera.  ...  Here, we used the RGB Retinex.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18178/ijmlc.2019.9.6.863">doi:10.18178/ijmlc.2019.9.6.863</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l6dvtubwjjgprfexeyevqrn4pa">fatcat:l6dvtubwjjgprfexeyevqrn4pa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320224627/http://www.ijmlc.org/vol9/863-L0312.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1a/98/1a983d5bfe55415dffd38f5bc3545efa12356902.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18178/ijmlc.2019.9.6.863"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A MODIFIED PINHOLE CAMERA MODEL FOR AUTOMATIC SPEED DETECTION OF DIAGONALLY MOVING VEHICLE

INDRABAYU, RIZKI YUSLIANA BAKTI, INTAN SARI ARENI
<span title="">2018</span> <i title="Taylor&#39;s University"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3vxazte2xfh4vfhg6itjiodlsq" style="color: black;">Journal of Engineering Science and Technology</a> </i> &nbsp;
The performance of the proposed system is evaluated using Root Mean Square Error (RMSE).  ...  This proves that the modified pinhole has better accuracy for car speed detection in all scenarios.  ...  Material and Methods The first step in car speed estimation is vehicle detection. There are several methods, which can be used for vehicle speed detection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://doaj.org/article/316520e88f2b437ca8a28dbd2212e156">doaj:316520e88f2b437ca8a28dbd2212e156</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rhhchf65kbfq3m34xpyr2kvy6e">fatcat:rhhchf65kbfq3m34xpyr2kvy6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180714103844/http://jestec.taylors.edu.my:80/Vol%2013%20issue%206%20June%202018/13_6_25.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/0d/dc0d9b0efde9d1e459519ad1dcffddfb427acc14.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

ROAD: The ROad event Awareness Dataset for Autonomous Driving [article]

Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Suman Saha, Kossar Jeddisaravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Salman Khan (+4 others)
<span title="2021-02-25">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Injecting these capabilities in an autonomous vehicle has thus the potential to take situational awareness and decision making closer to human-level performance.  ...  ROAD is designed to test an autonomous vehicle's ability to detect road events, defined as triplets composed by a moving agent, the action(s) it performs and the corresponding scene locations.  ...  To compile these datasets, RGB data were captured using either stationary surveillance cameras [51, 68, 64] or drone-mounted ones [77] for aerial view. [105, 11] use RGB images capturing an egocentric  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.11585v2">arXiv:2102.11585v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k25yvvjkonf33clpioyyf5eola">fatcat:k25yvvjkonf33clpioyyf5eola</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210307211325/https://arxiv.org/pdf/2102.11585v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/6c/776c9c9dc3e9c102a67a7574ee38423f02f51806.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.11585v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Research on Characteristics and Trends of Traffic Flow Based on Mixed Velocity Method and Background Difference Method

Huimin Ge, Hui Sun, Ying Lu
<span title="2020-08-28">2020</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
In the video detection, the background subtraction was used, and the morphological denoting method and the connected domain analysis method were used to retain the vehicle foreground.  ...  After analyzing the connection domain and removing the wrong target, the vehicle target area is extracted from research.  ...  Background differential method is a noncontact passive detection technology [12] , which is widely used in target detection of traffic surveillance videos [13] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/8546479">doi:10.1155/2020/8546479</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4nuynuargramnkxp3nlueclcuq">fatcat:4nuynuargramnkxp3nlueclcuq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200830020325/http://downloads.hindawi.com/journals/mpe/2020/8546479.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ae/06/ae0632e48ecdc7ff9e50408f2f1381c5f3be1e39.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2020/8546479"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Computer Vision System to Aid Drivers of Vehicles through Vertical Signaling Traffic

Eliz�angela deSouzaRebouc¸as, Samuel Luz Gomes, Pedro Pedrosa Rebouc¸as Filho
<span title="2015-04-22">2015</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
To mitigate the impact of this problem, this paper proposes the Aid System the Driver Vehicle (ASDV), which is based on a system uses computer vision techniques and Digital Image Processing to detect the  ...  The tests show satisfactory results, achieving 100% accuracy when the tracks are detected. Therefore, we can conclude that the system is promising and shows potential to be used in real applications.  ...  Gaussian, which in one dimension can be given by [6] : d = − x σ 2 e − x 2 2σ 2 (1) where σ 2 is the variance of the data and x the input data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/20144-2289">doi:10.5120/20144-2289</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bamnkdjmjze4lbgspiy5k3pc5q">fatcat:bamnkdjmjze4lbgspiy5k3pc5q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170814082401/http://research.ijcaonline.org/volume115/number5/pxc3902289.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/12/9d/129d38380e8a2c81bc2ae3e74a148e8f057fb9c7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/20144-2289"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Novel Driving Behavior Learning and Visualization Method with Natural Gaze Prediction

Guoliang Yuan, Yafei Wang, Jinjia Peng, Xianping Fu
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
To understand driving behavior more intuitively, the latent features that represent different driving behaviors are extracted by FastICA from the fused time series data, and mapped into RGB color space  ...  Most existing driving behavior learning methods focus on either vehicle sensor information or driver's attention information, and provide a classification result on the current time data samples.  ...  As shown in Fig.6 , the results of our method is mapped into the RGB space for visualization with the detected driver-related data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3054951">doi:10.1109/access.2021.3054951</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ufd4r5ukbvfufgyixhznmnymgm">fatcat:ufd4r5ukbvfufgyixhznmnymgm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718035707/https://ieeexplore.ieee.org/ielx7/6287639/9312710/09336651.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cd/ee/cdeebdc90191b7e8edc3a0fe62b2960558d8da8b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3054951"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>
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