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TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions [article]

Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
<span title="2019-12-02">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We evaluate the performance of our prediction algorithm, TraPHic, on the standard datasets and also introduce a new dense, heterogeneous traffic dataset corresponding to urban Asian videos and agent trajectories  ...  We present a new algorithm for predicting the near-term trajectories of road-agents in dense traffic videos.  ...  This research is supported in part by ARO grant W911NF19-1-0069, Alibaba Innovative Research (AIR) program, and Intel.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.04767v3">arXiv:1812.04767v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dwyjs4tv45aplmshndvscroqfu">fatcat:dwyjs4tv45aplmshndvscroqfu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200824170957/https://arxiv.org/pdf/1812.04767v3.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/4b/9b/4b9bd337fa6f7f0e230b32b210d33a1e8a2394a2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.04767v3" 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>

TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions

Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
<span title="">2019</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ilwxppn4d5hizekyd3ndvy2mii" style="color: black;">2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</a> </i> &nbsp;
We evaluate the performance of our prediction algorithm, TraPHic, on the standard datasets and also introduce a new dense, heterogeneous traffic dataset corresponding to urban Asian videos and agent trajectories  ...  We present a new algorithm for predicting the near-term trajectories of road agents in dense traffic videos.  ...  Acknowledgments This research is supported in part by ARO grant W911NF19-1-0069, Alibaba Innovative Research (AIR) program, and Intel.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2019.00868">doi:10.1109/cvpr.2019.00868</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cvpr/ChandraBBM19.html">dblp:conf/cvpr/ChandraBBM19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ycj2ak6arfb27ctc3lyewsmrli">fatcat:ycj2ak6arfb27ctc3lyewsmrli</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190819045744/http://openaccess.thecvf.com:80/content_CVPR_2019/papers/Chandra_TraPHic_Trajectory_Prediction_in_Dense_and_Heterogeneous_Traffic_Using_Weighted_CVPR_2019_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/0e/6a/0e6a84eb1ef0dfe8a8a1f28e0d7e01fb215cd9b5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2019.00868"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs [article]

Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
<span title="2020-08-05">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We present a novel approach for traffic forecasting in urban traffic scenarios using a combination of spectral graph analysis and deep learning.  ...  We use a two-stream graph-LSTM network to perform traffic forecasting using these weighted DGGs.  ...  ACKNOWLEDGEMENTS This work was supported in part by ARO Grants W911NF1910069 and W911NF1910315, Semiconductor Research Corporation (SRC), and Intel.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.01118v2">arXiv:1912.01118v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vpeofkybtbcmdhjd7sea3cssda">fatcat:vpeofkybtbcmdhjd7sea3cssda</a> </span>
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Recent Advances in Vision-Based On-Road Behaviors Understanding: A Critical Survey

Rim Trabelsi, Redouane Khemmar, Benoit Decoux, Jean-Yves Ertaud, Rémi Butteau
<span title="2022-03-30">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
For this, five related topics have been covered in this review, including situational awareness, driver-road interaction, road scene understanding, trajectories forecast, driving activities, and status  ...  We also finally provide a comprehensive discussion leading us to identify novel research directions some of which have been implemented and validated in our current smart mobility research work.  ...  Dense and heterogeneous road traffics have been considered by the TRAF dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s22072654">doi:10.3390/s22072654</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35408269">pmid:35408269</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC9003377/">pmcid:PMC9003377</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2vrmgz3b25eyxbijeurx5aijv4">fatcat:2vrmgz3b25eyxbijeurx5aijv4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220429184735/https://mdpi-res.com/d_attachment/sensors/sensors-22-02654/article_deploy/sensors-22-02654.pdf?version=1648632924" 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/bd/cd/bdcddd7748842d8e87cd16f9bd70e9eb58fbb7d8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s22072654"> <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/PMC9003377" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </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>
level respectively, behavior modelling and prediction of vehicle driving and pedestrian trajectories.  ...  We investigate the major fields of self-driving systems, such as perception, mapping and localization, prediction, planning and control, simulation, V2X and safety etc.  ...  TraPHic [271] models the interactions between different road agents using a LSTM-CNN hybrid network for trajectory prediction, considering heterogeneous interactions that account for the varying shapes  ... 
<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>

A Review of Tracking and Trajectory Prediction Methods for Autonomous Driving

Florin Leon, Marius Gavrilescu
<span title="2021-03-19">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ye33srllvnanjouxn4tmrfgjsq" style="color: black;">Mathematics</a> </i> &nbsp;
, i.e., anticipating the future trajectories and motion of other vehicles in order to facilitate navigating through various traffic conditions.  ...  Specifically, we focus on two aspects extensively explored in the related literature: tracking, i.e., identifying pedestrians, cars or obstacles from images, observations or sensor data, and prediction  ...  Continental AG for their great cooperation within Proreta 5, which is a joint research project of the Technical University of Darmstadt, University of Bremen, "Gheorghe Asachi" Technical University of Iaşi and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/math9060660">doi:10.3390/math9060660</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qvikrr32tzd7fnjzs22u3ago4m">fatcat:qvikrr32tzd7fnjzs22u3ago4m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210320213639/https://res.mdpi.com/d_attachment/mathematics/mathematics-09-00660/article_deploy/mathematics-09-00660.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/90/1c/901c66aa630f7050ce2cdbc8437169d4b7eb2169.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/math9060660"> <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>