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Accurately detecting and tracking pedestrians in 3D space is challenging due to large variations in rotations, poses and scales.
Histograms of oriented gradients for human detection
Navneet Dalal and Bill Triggs · 2005
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Segmentation and recognition using structure from motion point clouds
Gabriel J Brostow, Jamie Shotton, Julien Fauqueur, and Roberto Cipolla · 2008
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Monocular pedestrian detection: Survey and experiments
Markus Enzweiler and Dariu M Gavrila · 2008
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A mobile vision system for robust multi-person tracking
Andreas Ess, Bastian Leibe, Konrad Schindler, and Luc Van Gool · 2008
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Multi-cue onboard pedestrian detection
Christian Wojek, Stefan Walk, and Bernt Schiele · 2009
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Pedestrian detection: An evaluation of the state of the art
Piotr Dollar, Christian Wojek, Bernt Schiele, and Pietro Perona · 2011
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Multispectral pedestrian detection: Benchmark dataset and baseline
Soonmin Hwang, Jaesik Park, Namil Kim, Yukyung Choi, and In So Kweon · 2015
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Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Lstm: A search space odyssey
Klaus Greff, Rupesh K Srivastava, Jan Koutník, Bas R Steunebrink, and Jürgen Schmidhuber · 2016
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Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Jixiang Wan, B. Li, and Tian Xia · 2017
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The mapillary vistas dataset for semantic understanding of street scenes
Gerhard Neuhold, Tobias Ollmann, Samuel Rota Bulo, and Peter Kontschieder · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Simple online and realtime tracking with a deep association metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
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Citypersons: A diverse dataset for pedestrian detection
Shanshan Zhang, Rodrigo Benenson, and Bernt Schiele · 2017
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Kaist multi-spectral day/night data set for autonomous and assisted driving
Yukyung Choi, Namil Kim, Soonmin Hwang, Kibaek Park, Jae Shin Yoon, Kyounghwan An, and In So Kweon · 2018
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Joint 3d proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven L. Waslander · 2018
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Deep continuous fusion for multi-sensor 3d object detection
Ming Liang, Binh Yang, Shenlong Wang, and R. Urtasun · 2018
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Nightowls: A pedestrians at night dataset
Lukás Neumann, Michelle Karg, Shanshan Zhang, Christian Scharfenberger, Eric Piegert, Sarah Mistr, Olga Prokofyeva, Robert Thiel, Andrea Vedaldi, Andrew Zisserman, and Bernt Schiele · 2018
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Crowdhuman: A benchmark for detecting human in a crowd
Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, and Jian Sun · 2018
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Pixor: Real-time 3d object detection from point clouds
Binh Yang, Wenjie Luo, and R. Urtasun · 2018
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Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe · 2019
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Densepeds: Pedestrian tracking in dense crowds using front-rvo and sparse features
Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, and Dinesh Manocha · 2019
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Traphic: Trajectory prediction in dense and heterogeneous traffic using weighted interactions
Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, and Dinesh Manocha · 2019
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Sławomir Bąk, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, and James Hays · 2019
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D2-city: A large-scale dashcam video dataset of diverse traffic scenarios
Starnet: Pedestrian trajectory prediction using deep neural network in star topology
Yanliang Zhu, Deheng Qian, Dongchun Ren, and Huaxia Xia · 2019
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Object as hotspots: An anchor-free 3d object detection approach via firing of hotspots
Qi Chen, Lin Sun, Zhixin Wang, K. Jia, and A. Yuille · 2020
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Probabilistic 3d multi-object tracking for autonomous driving
Hsu-kuang Chiu, Antonio Prioletti, Jie Li, and Jeannette Bohg · 2020
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A2D2: Audi Autonomous Driving Dataset
Jakob Geyer, Yohannes Kassahun, Mentar Mahmudi, Xavier Ricou, Rupesh Durgesh, Andrew S. Chung, Lorenz Hauswald, Viet Hoang Pham, Maximilian Mühlegg, Sebastian Dorn, Tiffany Fernandez, Martin Jänicke, Sudesh Mirashi, Chiragkumar Savani, Martin Sturm, Oleksandr Vorobiov, Martin Oelker, Sebastian Garreis, and Peter Schuberth · 2020
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Zhengping Che, Max Guangyu Li, Tracy Li, Bo Jiang, Xuefeng Shi, Xinsheng Zhang, Ying Lu, Guobin Wu, Yan Liu, and Jieping Ye · 2019
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Joint monocular 3d vehicle detection and tracking
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krahenbuhl, Trevor Darrell, and Fisher Yu · 2019
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Level 5 perception dataset 2020
R. Kesten, M. Usman, J. Houston, T. Pandya, K. Nadhamuni, A. Ferreira, M. Yuan, B. Low, A. Jain, P. Ondruska, S. Omari, S. Shah, A. Kulkarni, A. Kazakova, C. Tao, L. Platinsky, W. Jiang, and V. Shet · 2019
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Pedx: Benchmark dataset for metric 3-d pose estimation of pedestrians in complex urban intersections
Wonhui Kim, Manikandasriram Srinivasan Ramanagopal, Charles Barto, Ming-Yuan Yu, Karl Rosaen, Nick Goumas, Ram Vasudevan, and Matthew Johnson-Roberson · 2019
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Pointpillars: Fast encoders for object detection from point clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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Multi-task multi-sensor fusion for 3d object detection
Ming Liang, Binh Yang, Yun Chen, Rui Hu, and R. Urtasun · 2019
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Trafficpredict: Trajectory prediction for heterogeneous traffic-agents
Yuexin Ma, Xinge Zhu, Sibo Zhang, Ruigang Yang, Wenping Wang, and Dinesh Manocha · 2019
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Imvotenet: Boosting 3d object detection in point clouds with image votes
C. Qi, Xinlei Chen, O. Litany, and L. Guibas · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, and etc · 2020
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Pointpainting: Sequential fusion for 3d object detection
Sourabh Vora, Alex H. Lang, Bassam Helou, and Oscar Beijbom · 2020
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Pi-rcnn: An efficient multi-sensor 3d object detector with point-based attentive cont-conv fusion module
Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, and Xiaofei He · 2020
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3dssd: Point-based 3d single stage object detector
Zetong Yang, Y. Sun, Shu Liu, and Jiaya Jia · 2020
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3d-cvf: Generating joint camera and lidar features using cross-view spatial feature fusion for 3d object detection
Jin Hyeok Yoo, Yeocheol Kim, Ji Song Kim, and J. Choi · 2020
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Bdd100k: A diverse driving dataset for heterogeneous multitask learning
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell · 2020
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A3d: Adaptive 3d networks for video action recognition
Sijie Zhu, Taojiannan Yang, Mat’ias Mendieta, and Chen Chen · 2020
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Ssn: Shape signature networks for multi-class object detection from point clouds
Xinge Zhu, Yuexin Ma, Tai Wang, Yan Xu, Jianping Shi, and Dahua Lin · 2020
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Meteor: A massive dense & heterogeneous behavior dataset for autonomous driving
Rohan Chandra, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu, Alok Jain, and Dinesh Manocha · 2021
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From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network
Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2021
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Pointaugmenting: Cross-modal augmentation for 3d object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
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Cylindrical and asymmetrical 3d convolution networks for lidar segmentation
Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, and etc · 2021
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Cylindrical and asymmetrical 3d convolution networks for lidar-based perception
Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Wei Li, Yuexin Ma, Hongsheng Li, Ruigang Yang, and Dahua Lin · 2021
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