Filters








2,167 Hits in 6.5 sec

Fast and Robust RGB-D Scene Labeling for Autonomous Driving

Manuel Jasch
<span title="">2018</span> <i title="International Academy Publishing (IAP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3uo3zcmrgvgspdzqe6w6sjoezq" style="color: black;">Journal of Computers</a> </i> &nbsp;
For autonomously driving cars and intelligent vehicles it is crucial to understand the scene context including objects in the surrounding.  ...  To this end, novel experimentally grounded network architecture is proposed to perform robust scene labeling that does not require costly preprocessing like CRFs or LSTMs as commonly used in related work  ...  Introduction In the automobile sector, understanding the scene context is important for autonomously driving cars and assistance systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17706/jcp.13.4.393-400">doi:10.17706/jcp.13.4.393-400</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fg62p6khtzb2pe5dls3nxsrywy">fatcat:fg62p6khtzb2pe5dls3nxsrywy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200213180039/http://www.jcomputers.us/vol13/jcp1304-03.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/03/85/038554418107375d4c2f5f6f8afbc04b1f9a6afe.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17706/jcp.13.4.393-400"> <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>

HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images [article]

Johan Vertens, Jannik Zürn, Wolfram Burgard
<span title="2020-03-10">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Furthermore, due to a lack of thermal data for autonomous driving, we present a new dataset comprising over 20,000 time-synchronized and aligned RGB-thermal image pairs.  ...  In this context, we also present a novel target-less calibration method that allows for automatic robust extrinsic and intrinsic thermal camera calibration.  ...  INTRODUCTION Robust and accurate semantic segmentation of urban scenes is one of the enabling technologies for autonomous driving in complex and cluttered driving scenarios.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.04645v1">arXiv:2003.04645v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6l2peglozrdbbh3m53sknplnia">fatcat:6l2peglozrdbbh3m53sknplnia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320174314/https://arxiv.org/pdf/2003.04645v1.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.04645v1" 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>

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges [article]

Di Feng, Christian Haase-Schuetz, Lars Rosenbaum, Heinz Hertlein, Claudius Glaeser, Fabian Timm, Werner Wiesbeck, Klaus Dietmayer
<span title="2020-02-08">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In order to achieve robust and accurate scene understanding, autonomous vehicles are usually equipped with different sensors (e.g. cameras, LiDARs, Radars), and multiple sensing modalities can be fused  ...  Recent advancements in perception for autonomous driving are driven by deep learning.  ...  We also thank Bill Beluch, Rainer Stal, Peter Möller and Ulrich Michael for their suggestions and inspiring discussions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1902.07830v4">arXiv:1902.07830v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/or6enjxktnamdmh2yekejjr4re">fatcat:or6enjxktnamdmh2yekejjr4re</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200826173307/https://arxiv.org/pdf/1902.07830v4.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/c2/8c/c28c0e35770c51caf64923513ba69ac2d0e221e0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1902.07830v4" 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 Review of Visual Odometry Methods and Its Applications for Autonomous Driving [article]

Kai Li Lim, Thomas Bräunl
<span title="2020-09-19">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The research into autonomous driving applications has observed an increase in computer vision-based approaches in recent years.  ...  This paper presents a recent review to methods that are pertinent to visual odometry with an emphasis on autonomous driving.  ...  Additionally, in order for a VO method to be accurately robust for autonomous driving, the method should account for the various environmental dynamism that occurs on road scenes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.09193v1">arXiv:2009.09193v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qwc2ov2vanbovby377i23hu7vm">fatcat:qwc2ov2vanbovby377i23hu7vm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200928085657/https://arxiv.org/pdf/2009.09193v1.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.09193v1" 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>

ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data [article]

Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
<span title="2021-12-09">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The proposed ISSAFE architecture is demonstrated to be consistently effective for models learned on multiple source databases including Cityscapes, KITTI-360, BDD and ApolloScape.  ...  The assistance system should not only achieve high accuracy under normal conditions, but obtain robust perception against extreme situations.  ...  Any ambiguity in machine vision algorithms may cause fatal consequences in autonomous driving, thus the robustness testing conducted in diverse driving conditions is essential.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.08974v2">arXiv:2008.08974v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u26dwijronecbex6hgcfdt3pee">fatcat:u26dwijronecbex6hgcfdt3pee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200822111650/https://arxiv.org/pdf/2008.08974v1.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> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.08974v2" 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>

Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images [article]

Lei Sun, Kailun Yang, Xinxin Hu, Weijian Hu, Kaiwei Wang
<span title="2020-06-27">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
On Cityscapes, Our method outperforms previous state-of-the-art semantic segmenters, with excellent accuracy and 22Hz inference speed at the full 2048x1024 resolution, outperforming most existing RGB-D  ...  Considering the demands of autonomous driving, real-time semantic segmentation has become a research hotspot these years.  ...  But most accuracy-oriented RGB-D semantic segmentation works focus on indoor scenes [7] [9] [10], without assuring a fast inference speed that is necessary for autonomous vehicles.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.10570v2">arXiv:2002.10570v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tfnxpu5mxbclla5icoe25vwys4">fatcat:tfnxpu5mxbclla5icoe25vwys4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200826192725/https://arxiv.org/pdf/2002.10570v2.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/a1/1c/a11c1aa834392570eeb1bc7094d0425fc354cc18.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.10570v2" 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>

Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles

Liangzhi Li, Kaoru Ota, Mianxiong Dong
<span title="">2018</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fmebo7gm4vhg7ljs3x2bbrazk4" style="color: black;">IEEE Transactions on Vehicular Technology</a> </i> &nbsp;
The autonomous vehicle, as an emerging and rapidly growing field, has received extensive attention for its futuristic driving experiences.  ...  Although the fast developing depth sensors and machine learning methods have given a huge boost to selfdriving research, existing autonomous driving vehicles do meet with several avoidable accidents during  ...  ACKNOWLEDGMENT This work is partially supported by JSPS KAKENHI Grant Number JP16K00117, JP15K15976, and KDDI Foundation. Mianxiong Dong is the corresponding author.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tvt.2018.2822762">doi:10.1109/tvt.2018.2822762</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wl2iftm7gvaoxmrqnxcczqwaee">fatcat:wl2iftm7gvaoxmrqnxcczqwaee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307011232/https://muroran-it.repo.nii.ac.jp/?action=repository_action_common_download&amp;item_id=10010&amp;item_no=1&amp;attribute_id=24&amp;file_no=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/62/f3/62f32576e40eb79c1b91ba2d4edef023c6de1c6a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tvt.2018.2822762"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Semantic scene understanding and traversability estimation for off-road vehicles

Jesús Copado Rodríguez, András Majdik
<span title="2021-06-29">2021</span> <i title="Zenodo"> Zenodo </i> &nbsp;
In recent years a lot of research has been carried out by big tech companies in the field of autonomous driving.  ...  Therefore, the goal of this project is to develop a spatial AI algorithm for off-road vehicles that is able to perceive and understand autonomously the real physical world by identifying the surrounding  ...  Acknowledgement The research in this publication, which was carried in collaboration with Furthermore, I would also like to thank my supervisors at SZTAKI, András László Madjik for his support and Gábor  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6325960">doi:10.5281/zenodo.6325960</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tvlsekwyvvad5cdqdo2t3otilu">fatcat:tvlsekwyvvad5cdqdo2t3otilu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220511044352/https://zenodo.org/record/6325960/files/Master_Thesis___Jesus_Copado_Rodriguez.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/59/9c/599c6a29feaff288e42bcc7eecbd65e390b8fd93.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6325960"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

A Comprehensive Review on 3D Object Detection and 6D Pose Estimation with Deep Learning

Sabera Hoque, MD. Yasir Arafat, Shuxiang Xu, Ananda Maiti, Yuchen Wei
<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;
C. 6D POSE ESTIMATION DIRECTLY FROM RGB-D 1070 IMAGES A scene coordinate regression (SCoRe) forest is used, trained in a specific scene, employs only RGB-D image pixel comparison features and has fast  ...  RGB -D Images 7 LINEMOD [90] Easy to deploy, reliable, and fast. Poor performances and suffers for false positives data. LINEMOD [90] 8 SSD-6D [115] Stable training and robust prediction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3114399">doi:10.1109/access.2021.3114399</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kvdwsslqxff3lkh27tsdsciqma">fatcat:kvdwsslqxff3lkh27tsdsciqma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210930191317/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09543652.pdf?tp=&amp;arnumber=9543652&amp;isnumber=6514899&amp;ref=" 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/7c/9f7cbc96e6b884961248693479258186ad82ef57.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3114399"> <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>

Exploring Event-driven Dynamic Context for Accident Scene Segmentation [article]

Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
<span title="2021-12-09">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The robustness of semantic segmentation on edge cases of traffic scene is a vital factor for the safety of intelligent transportation.  ...  However, most of the critical scenes of traffic accidents are extremely dynamic and previously unseen, which seriously harm the performance of semantic segmentation methods.  ...  Any ambiguity in machine vision algorithms may cause fatal consequences in autonomous driving [45] , thus robustness testing in diverse driving conditions is essential.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.05006v1">arXiv:2112.05006v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xyjr5tiysjgdxbvx2rk2huwdj4">fatcat:xyjr5tiysjgdxbvx2rk2huwdj4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211211061358/https://arxiv.org/pdf/2112.05006v1.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/4d/50/4d509a1cb7052617d84f47afe241e98377f6c9d1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.05006v1" 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>

Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning [article]

Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Meriaudeau
<span title="2019-10-02">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Object detection in road scenes is necessary to develop both autonomous vehicles and driving assistance systems.  ...  Our goal by this work, is to prove that polarimetry brings a real added value compared with RGB images for object detection.  ...  The percentage of error rate evolution ER d o for the object o ∈ { person , car } and the data format d is given by: ER d o = 1 − AP RGB o − (1 − AP d o ) 1 − AP RGB o × 100, where AP RGB o is the average  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.04870v1">arXiv:1910.04870v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nbqbhnbnnzhophk5khya75udiu">fatcat:nbqbhnbnnzhophk5khya75udiu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200902024912/https://arxiv.org/pdf/1910.04870v1.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/9a/c7/9ac70c69d8487b8fc4d2d66394028e9c188ca915.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.04870v1" 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>

Learning Object-specific Distance from a Monocular Image [article]

Jing Zhu, Yi Fang, Husam Abu-Haimed, Kuo-Chin Lien, Dongdong Fu and Junli Gu
<span title="2019-09-09">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Environment perception, including object detection and distance estimation, is one of the most crucial tasks for autonomous driving.  ...  To facilitate the research on this task, we construct the extented KITTI and nuScenes (mini) object detection datasets with a distance for each object.  ...  Kuo-Chin Lien for their insightful discussion and comments during the rebuttal period.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.04182v1">arXiv:1909.04182v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bwlbzjbi7fem7h7wqy7amsljbq">fatcat:bwlbzjbi7fem7h7wqy7amsljbq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200726102425/https://arxiv.org/pdf/1909.04182v1.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.04182v1" 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>

JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset [article]

Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Patrick Goebel, Amir Sadeghian, Hamid Rezatofighi, Roberto Martín-Martín, Silvio Savarese
<span title="2020-07-22">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Robots navigating autonomously need to perceive and track the motion of objects and other agents in its surroundings. This information enables planning and executing robust and safe trajectories.  ...  scenes.  ...  INTRODUCTION An autonomous agent such as a mobile robot needs to move between two locations in a safe and robust manner.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.08397v4">arXiv:2002.08397v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mugpj7bwkfgjpblypykob342va">fatcat:mugpj7bwkfgjpblypykob342va</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200724021546/https://arxiv.org/pdf/2002.08397v4.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/83/66/83665940daba2114294f0dfb73f47d7d20ea1819.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.08397v4" 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 Summary of the 4th International Workshop on Recovering 6D Object Pose [chapter]

Tomáš Hodaň, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel (+3 others)
<span title="">2019</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The workshop featured four invited talks, oral and poster presentations of accepted workshop papers, and an introduction of the BOP benchmark for 6D object pose estimation.  ...  The workshop was attended by 100+ people working on relevant topics in both academia and industry who shared up-to-date advances and discussed open problems.  ...  [42] (RGB-D).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-11009-3_36">doi:10.1007/978-3-030-11009-3_36</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jx65hxijzberregvht4jey47cq">fatcat:jx65hxijzberregvht4jey47cq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200318085244/http://openaccess.thecvf.com/content_ECCVW_2018/papers/11129/Hodan_A_Summary_of_the_4th_International_Workshop_onRecovering_6D_Object_ECCVW_2018_paper.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/91/c6/91c646c38b408f22131eafdb6b6891913f925b32.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-11009-3_36"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

OLIMP: A Heterogeneous Multimodal Dataset for Advanced Environment Perception

Amira Mimouna, Ihsen Alouani, Anouar Ben Khalifa, Yassin El Hillali, Abdelmalik Taleb-Ahmed, Atika Menhaj, Abdeldjalil Ouahabi, Najoua Essoukri Ben Amara
<span title="2020-03-27">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ikdpfme5h5egvnwtvvtjrnntyy" style="color: black;">Electronics</a> </i> &nbsp;
A reliable environment perception is a crucial task for autonomous driving, especially in dense traffic areas.  ...  Recent improvements and breakthroughs in scene understanding for intelligent transportation systems are mainly based on deep learning and the fusion of different modalities.  ...  The nuScene (nuTonomy scenes) [14] is the first dataset that involves the three preeminent sensors exploited to ensure an autonomous driving which are a lidar, 5 radars and 6 cameras.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics9040560">doi:10.3390/electronics9040560</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m7xosqzegbgfnabzqzp3n2gagy">fatcat:m7xosqzegbgfnabzqzp3n2gagy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200407052055/https://res.mdpi.com/d_attachment/electronics/electronics-09-00560/article_deploy/electronics-09-00560-v2.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/1c/0a/1c0a80fb969f84bb1e3122b70343c70400d2da55.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics9040560"> <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>
&laquo; Previous Showing results 1 &mdash; 15 out of 2,167 results