Filters








3,442 Hits in 9.2 sec

Outdoor Localization Using Stereo Vision Under Various Illumination Conditions

Kiyoshi Irie, Tomoaki Yoshida, Masahiro Tomono
<span title="">2012</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ja5obujajjeyfacdieqkxlelvm" style="color: black;">Advanced Robotics</a> </i> &nbsp;
To cope with varying illumination conditions, we use 2D occupancy grid maps generated from 3D point clouds obtained by a stereo camera.  ...  We use edge point based stereo SLAM to obtain occupancy information and robot ego-motion estimation simultaneously.  ...  Our method combines 3D range data and image features in an effective manner to enhance robustness to illumination changes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1163/156855311x614608">doi:10.1163/156855311x614608</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2qqhivzsojewdiuwrulgiv74xm">fatcat:2qqhivzsojewdiuwrulgiv74xm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190302051541/http://pdfs.semanticscholar.org/9e1c/2e358847074de14efe0048e000e306714b8e.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/9e/1c/9e1c2e358847074de14efe0048e000e306714b8e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1163/156855311x614608"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera

Jun Hayakawa, Behzad Dariush
<span title="">2019</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7cbpwi7j75hgfoparrxqyf2c2i" style="color: black;">2019 IEEE Intelligent Vehicles Symposium (IV)</a> </i> &nbsp;
Our approach is based on a combination of three deep neural networks to estimate the 3D vehicle bounding box, depth, and optical flow from a sequence of images.  ...  Typical approaches to solve this problem use fusion of multiple sensors such as LiDAR, camera, and radar to recognize surrounding vehicle state, including position, velocity, and orientation.  ...  The 2D flow vector in the 3D bounding box can be projected on each plane based on the 2D coordinates.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ivs.2019.8814037">doi:10.1109/ivs.2019.8814037</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ivs/HayakawaD19.html">dblp:conf/ivs/HayakawaD19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xwq64zex6fclpd26x2a5rfjtx4">fatcat:xwq64zex6fclpd26x2a5rfjtx4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200528164854/https://arxiv.org/ftp/arxiv/papers/2005/2005.01632.pdf" title="fulltext PDF download [not primary version]" 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] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/38/bf/38bffd353781f7e7dbfd66374afaf58ee4e39ece.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ivs.2019.8814037"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Sensor for Urban Driving Assistance Systems Based on Dense Stereovision

Sergiu Nedevschi, Radu Danescu, Tiberiu Marita, Florin Oniga, Ciprian Pocol, Stefan Sobol, Corneliu Tomiuc, Cristian Vancea, Marc Michael Meinecke, Thorsten Graf, Thanh Binh To, Marian Andrzej Obojski
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lkskgbwfmrf5veab4szaxwrbla" style="color: black;">IEEE Intelligent Vehicles Symposium</a> </i> &nbsp;
The sensor presented in this paper answers to the requirements of the urban scenario through a multitude of detection modules, built on top of a hybrid (hardware plus software) dense stereo reconstruction  ...  The sensor is able to detect and track clothoid and non-clothoid lanes, cars, pedestrians (classified as such), and drivable areas in the absence of lane markings.  ...  The corresponding 2D image window is selected based also on the 3D object information.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ivs.2007.4290127">doi:10.1109/ivs.2007.4290127</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/no7gspckpjfvtduh3npzlqo2hq">fatcat:no7gspckpjfvtduh3npzlqo2hq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810031735/http://users.utcluj.ro/%7Etmarita/CV/Papers_IEEE-Xplore/IVS-2007.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/57/5d/575d9f3b23728ebb4dfebb4524a494a557b4fc57.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ivs.2007.4290127"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

2D–3D-based on-board pedestrian detection system

David Gerónimo, Angel D. Sappa, Daniel Ponsa, Antonio M. López
<span title="">2010</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;
This makes such systems combine techniques in the state-of-the-art Computer Vision. In this paper we present a three module system based on both 2D and 3D cues.  ...  The first module uses 3D information to estimate the road plane parameters and thus select a coherent set of regions of interest (ROIs) to be further analyzed.  ...  This novel and more elaborated strategy of combining 2D/3D information results on a robust approach in the sense that every stage is implemented being aware of limitations of 2D/3D data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cviu.2009.07.008">doi:10.1016/j.cviu.2009.07.008</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kqaswybr4zak7jz4udsd6kquam">fatcat:kqaswybr4zak7jz4udsd6kquam</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809062510/http://www.cvc.uab.es/~asappa/publications/J__Elsevier_CVIU_Vol_114_No_5_pp583-595_May_2010.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/ee/7a/ee7a2bf42afba263925b125b3c7de3a2cb7698c0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cviu.2009.07.008"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Stop-line detection and localization method for intersection scenarios

Tiberiu Marita, Mihai Negru, Radu Danescu, Sergiu Nedevschi
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jvbp6ujxqzc5phcneqbu4e6izm" style="color: black;">2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing</a> </i> &nbsp;
The proposed solution uses a hybrid approach that combines 2D detections in grayscale images with stereo-vision based 3D validations in order to increase the robustness and accuracy of the results.  ...  Model based reasoning is also used to eliminate false positive situations and to detect exactly the objects of interest (stop-lines, pedestrian or bicycle crossings).  ...  programs in priority fields of the knowledge-based society (EXCEL)", part of the human resources development program POSDRU, financing contract POSDRU/89/1.5/S/62557.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccp.2011.6047883">doi:10.1109/iccp.2011.6047883</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iccp2/MaritaNDN11.html">dblp:conf/iccp2/MaritaNDN11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nowoggvrujgvxethhhmlcy6yhq">fatcat:nowoggvrujgvxethhhmlcy6yhq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706063035/http://users.utcluj.ro/%7Etmarita/CV/Papers_IEEE-Xplore/ICCP-2011-StopLine.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/cc/f9/ccf9b4210ada442ab78e5d0991368a4228e0c75f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccp.2011.6047883"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving

Shiyu Song, Manmohan Chandraker
<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</a> </i> &nbsp;
Our ground plane estimation uses multiple cues like sparse features, dense inter-frame stereo and (when applicable) object detection.  ...  Experiments on the KITTI dataset demonstrate the accuracy of our ground plane estimation, monocular SFM and object localization relative to ground truth, with detailed comparisons to prior art.  ...  The dense stereo cue vastly improves camera self-localization, while the detection cue significantly aids object localization. To combine cues, Sec. 5 presents a novel data-driven framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2014.203">doi:10.1109/cvpr.2014.203</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cvpr/SongC14.html">dblp:conf/cvpr/SongC14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2dploiv2ord57ljj5vxjjlopm4">fatcat:2dploiv2ord57ljj5vxjjlopm4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20141107051718/http://vision.ucsd.edu:80/~manu/pdf/cvpr14_groundplane.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/50/e3/50e3b09c870dc93920f2e4ad5853e590c7b85ed7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2014.203"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Traffic Sign Detection and Tracking Using Robust 3D Analysis

Javier Marinas, Luis Salgado, Jon Arrospide, Massimo Camplani
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yjkjwbvofzhtxlsrrhqoim2tpq" style="color: black;">2012 Third International Conference on Emerging Security Technologies</a> </i> &nbsp;
In this paper we present an innovative technique to tackle the problem of automatic road sign detection and tracking using an on-board stereo camera.  ...  It involves a continuous 3D analysis of the road sign during the whole tracking process. Firstly, a color and appearance based model is applied to generate road sign candidates in both stereo images.  ...  The method is based on the combination of contour-based and SURF feature-based matching, which enables us to attain continuous 3D reconstruction of the signs, as opposed to traditional single-cue based  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/est.2012.17">doi:10.1109/est.2012.17</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/est/MarinasSAC12.html">dblp:conf/est/MarinasSAC12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aliyayjiazdaznibvsvts7vrpi">fatcat:aliyayjiazdaznibvsvts7vrpi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922042044/http://oa.upm.es/30496/1/INVE_MEM_2012_173564.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/82/84/82847343208de39747d37c766851d624557b3d3e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/est.2012.17"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection [article]

Nguyen Anh Minh Mai, Pierre Duthon, Louahdi Khoudour, Alain Crouzil, Sergio A. Velastin
<span title="2021-05-28">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper presents SLS-Fusion, a new approach to fuse data from 4-beam LiDAR and a stereo camera via a neural network for depth estimation to achieve better dense depth maps and thereby improves 3D object  ...  From 2D to 3D object detection, the most difficult is to determine the distance from the ego-vehicle to objects.  ...  [4] presented one of the first studies in monocular-based 3D object detection. It is mainly based on detecting 2D keypoints and finding the best position through 2D and 3D matching.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.03977v3">arXiv:2103.03977v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5iahola2yjf7lmteq4s3jieteq">fatcat:5iahola2yjf7lmteq4s3jieteq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210530072627/https://arxiv.org/pdf/2103.03977v2.pdf" title="fulltext PDF download [not primary version]" 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] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d9/81/d9810446d32cb826d0e90857fb7a124b580ba92a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.03977v3" 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>

A 2D/3D Vision Based Approach Applied to Road Detection in Urban Environments

Giovani B. Vitor, Danilo A. Lima, Alessandro C. Victorino, Janito V. Ferreira
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7cbpwi7j75hgfoparrxqyf2c2i" style="color: black;">2013 IEEE Intelligent Vehicles Symposium (IV)</a> </i> &nbsp;
This paper presents an approach for road detection based on image segmentation. This segmentation is resulted from merging 2D and 3D image processing data from a stereo vision system.  ...  The 2D layer returns a matrix containing pixel's clusters based on the Watershed transform.  ...  ACKNOWLEDGEMENT The authors wish to thank the helpful assistance of Mr. Gérald Dherbomez et Mr. Thierry Monglon during the data acquisition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ivs.2013.6629589">doi:10.1109/ivs.2013.6629589</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ivs/VitorLVF13.html">dblp:conf/ivs/VitorLVF13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/olcoqppj6vccdkhu3qvipckcau">fatcat:olcoqppj6vccdkhu3qvipckcau</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503121513/https://hal.archives-ouvertes.fr/hal-00936028/document" 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/05/0f/050fefc95eeaa899db4ac6fe49b9c34eb2cf976c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ivs.2013.6629589"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Real-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithms

Hossein Javidnia, Peter Corcoran
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nke6yprngzgvnobfpjkzmognci" style="color: black;">2017 IEEE International Conference on Consumer Electronics (ICCE)</a> </i> &nbsp;
In this work we provide the basis for such a system through combining an improved advanced random walk with restart technique for stereo depth determination with fast, robust feature detection.  ...  Thus it is practical to identify moving objects such as vehicles, pedestrians and fixed objects and structures such as buildings, trees and roadside kerb.  ...  Project ID: 13/SPP/I2868 on "Next Generation Imaging for Smartphone and Embedded Platforms".  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icce.2017.7889293">doi:10.1109/icce.2017.7889293</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iccel/Javidnia017.html">dblp:conf/iccel/Javidnia017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yd3h73ez7fe5plzqmxubilwjhi">fatcat:yd3h73ez7fe5plzqmxubilwjhi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715084543/https://aran.library.nuigalway.ie/bitstream/handle/10379/16687/2017_Real-Time_Automotive_Street-Scene_Mapping_Through_Fusion_of_Improved_Stereo_Depth_and_Fast_Feature_Detection_Algorithms.pdf;jsessionid=623679BA0116F4D7CBDD4745CAD6F57A?sequence=1" 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/88/b4/88b4e206c9dade701e8a8e44eff17d5d8935710b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icce.2017.7889293"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies [article]

Yu Huang, Yue Chen
<span title="2020-07-04">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Due to the limited space, we focus the analysis on several key areas, i.e. 2D and 3D object detection in perception, depth estimation from cameras, multiple sensor fusion on the data, feature and task  ...  We investigate the major fields of self-driving systems, such as perception, mapping and localization, prediction, planning and control, simulation, V2X and safety etc.  ...  Due to the limited space, we focus on some critical areas, i.e. 2D/3D object detection in perception based on different sensors (cameras, radar and LiDAR), depth estimation from cameras, sensor fusion  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.06091v3">arXiv:2006.06091v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nhdgivmtrzcarp463xzqvnxlwq">fatcat:nhdgivmtrzcarp463xzqvnxlwq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710071048/https://arxiv.org/ftp/arxiv/papers/2006/2006.06091.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/ea/69/ea691e79e5986f5d62bde9604bf651d046c95458.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.06091v3" 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>

Convergence of Stereo Vision-Based Multimodal YOLOs for Faster Detection爋f Potholes

Sungan Yoon, Jeongho Cho
<span title="">2022</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/amujz7fcqna6do727z6ev3ueo4" style="color: black;">Computers Materials &amp; Continua</a> </i> &nbsp;
Therefore, we propose a method to improve the learning performance of CNN-based object detection model by artificially generating synthetic data similar to a pothole and enhancing the learning data.  ...  Additionally, to make the defective areas appear more contrasting, the transformed disparity map (TDM) was calculated using stereo-vision cameras, and the detection performance of the model was further  ...  Acknowledgement: The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2022.027840">doi:10.32604/cmc.2022.027840</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hiv4qctthvalzhzd3eshd352oa">fatcat:hiv4qctthvalzhzd3eshd352oa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220618105301/http://www.techscience.com/cmc/v73n2/48338/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/db/45/db45a212eddbcb637a7e829312b17f0985c25378.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2022.027840"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

3D Object Proposals using Stereo Imagery for Accurate Object Class Detection [article]

Xiaozhi Chen and Kaustav Kundu and Yukun Zhu and Huimin Ma and Sanja Fidler and Raquel Urtasun
<span title="2017-04-25">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We then exploit a CNN on top of these proposals to perform object detection.  ...  The goal of this paper is to perform 3D object detection in the context of autonomous driving.  ...  We would like to thank NVIDIA for supporting our research by donating GPUs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.07711v2">arXiv:1608.07711v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3xhhpw2o7nggnjfmf24w5wy6ty">fatcat:3xhhpw2o7nggnjfmf24w5wy6ty</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200824111652/https://arxiv.org/pdf/1608.07711v2.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/fa/33/fa3332082a1c8a37295f593dcf6adf15880867eb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.07711v2" 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>

Nonparametric semantic segmentation for 3D street scenes

Hu He, Ben Upcroft
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dmucnarmarh2fj6syg5jyqs7ny" style="color: black;">2013 IEEE/RSJ International Conference on Intelligent Robots and Systems</a> </i> &nbsp;
We use stereo image pairs collected from cameras mounted on a moving car to produce dense depth maps which are combined into a global 3D reconstruction using camera poses from stereo visual odometry.  ...  In this paper we propose a method to generate a large scale and accurate dense 3D semantic map of street scenes.  ...  ACKNOWLEDGMENTS The authors would like to thank Inkyu Sa and Alex Bewley for help in annotating the dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iros.2013.6696884">doi:10.1109/iros.2013.6696884</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iros/HeU13.html">dblp:conf/iros/HeU13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/knifgtdwz5a2bg2dvix3oveany">fatcat:knifgtdwz5a2bg2dvix3oveany</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150907033742/http://eprints.qut.edu.au/61430/1/Hu_IROS2013.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/b4/c5/b4c53b5b67092c7a659fd79c8c66de1dc87da5a8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iros.2013.6696884"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A survey of video processing techniques for traffic applications

V Kastrinaki, M Zervakis, K Kalaitzakis
<span title="">2003</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/z7tk7kanxjcz7hgk77ae6t3ofy" style="color: black;">Image and Vision Computing</a> </i> &nbsp;
camera RALPH [109] † Spatial processing † Feature-driven approach † Automatic lane finding † Stereo images using edge orientation † Moving camera † Mapping of left to right image features ROMA [19] †  ...  Alf † State-variable estimation of 3D model structure for object detection UTA [14] † Spatio-temporal processing for ALF and object detectionFeature-driven approach † Autonomous vehicle guidance Based  ...  This step is essentially a pose identification process, which derives the 3D position of the vehicle relative to the camera coordinates, based on 2D projections.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0262-8856(03)00004-0">doi:10.1016/s0262-8856(03)00004-0</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nr3mmyj55jaxxljkvst4laivxy">fatcat:nr3mmyj55jaxxljkvst4laivxy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808050303/https://www.tuc.gr/fileadmin/users_data/elci/Kalaitzakis/J.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/97/89/9789b78c529f16a0c4a2f338cc08610a7f10c462.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0262-8856(03)00004-0"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 3,442 results