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How should representations from complementary sensors be integrated for autonomous driving? Geometry-based sensor fusion has shown great promise for perception tasks such as object detection and motion forecasting.
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Urs Muller, Jan Ben, Eric Cosatto, Beat Flepp, and Yann LeCun · 2005
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li jia Li, Kai Li, and Li Fei-fei · 2009
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Are we ready for autonomous driving? The KITTI vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Adaptive Control Processes - A Guided Tour
Richard Bellman · 2015
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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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Virtual worlds as proxy for multi-object tracking analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon, and Eleonora Vig · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Playing for data: Ground truth from computer games
Stephan R. Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
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The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes
German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, and Antonio Lopez · 2016
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Brain inspired cognitive model with attention for self-driving cars
Shi-tao Chen, Songyi Zhang, Jinghao Shang, Badong Chen, and Nanning Zheng · 2017
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Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
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CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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End-to-end learning of driving models from large-scale video datasets
Huazhe Xu, Yang Gao, Fisher Yu, and Trevor Darrell · 2017
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Intentnet: Learning to predict intention from raw sensor data
Sergio Casas, Wenjie Luo, and Raquel Urtasun · 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, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
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Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
Wenjie Luo, Bin Yang, and Raquel Urtasun · 2018
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Semi-parametric image synthesis
Xiaojuan Qi, Qifeng Chen, Jiaya Jia, and Vladlen Koltun · 2018
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Car-net: Clairvoyant attentive recurrent network
Amir Sadeghian, Ferdinand Legros, Maxime Voisin, Ricky Vesel, Alexandre Alahi, and Silvio Savarese · 2018
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End-to-end multi-modal sensors fusion system for urban automated driving
Ibrahim Sobh, Loay Amin, Sherif Abdelkarim, Khaled Elmadawy, M. Saeed, Omar Abdeltawab, M. Gamal, and Ahmad El Sallab · 2018
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BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling
Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, and Trevor Darrell · 2018
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https://www.waymo.com/open , 2019
Waymo open dataset: An autonomous driving dataset · 2019
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Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst
Mayank Bansal, Alex Krizhevsky, and Abhijit S. Ogale · 2019
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Learning by cheating
Dian Chen, Brady Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2019
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Attention-based hierarchical deep reinforcement learning for lane change behaviors in autonomous driving
Yilun Chen, Chiyu Dong, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, and John M. Dolan · 2019
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Looking to relations for future trajectory forecast
Chiho Choi and Behzad Dariush · 2019
Label efficient visual abstractions for autonomous driving
Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, and Andreas Geiger · 2020
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Spagnn: Spatially-aware graph neural networks for relational behavior forecasting from sensor data
Sergio Casas, Cole Gulino, Renjie Liao, and Raquel Urtasun · 2020
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Roifusion: 3d object detection from lidar and vision
Can Chen, Luca Zanotti Fragonara, and Antonios Tsourdos · 2020
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Mvlidarnet: Real-time multi-class scene understanding for autonomous driving using multiple views
Ke Chen, Ryan Oldja, Nikolai Smolyanskiy, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, and Joachim Pehserl · 2020
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Generative pretraining from pixels
Mark Chen, A. Radford, Jeff Wu, Heewoo Jun, Prafulla Dhariwal, David Luan, and Ilya Sutskever · 2020
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Exploring the limitations of behavior cloning for autonomous driving
Felipe Codevilla, Eder Santana, Antonio M. López, and Adrien Gaidon · 2019
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Stgat: Modeling spatial-temporal interactions for human trajectory prediction
Ying-Fan Huang, Huikun Bi, Zhaoxin Li, Tianlu Mao, and Zhaoqi Wang · 2019
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The trajectron: Probabilistic multi-agent trajectory modeling with dynamic spatiotemporal graphs
Boris Ivanovic and Marco Pavone · 2019
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Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks
Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian D. Reid, Hamid Rezatofighi, and Silvio Savarese · 2019
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Multi-task multi-sensor fusion for 3d object detection
Ming Liang, Bin Yang, Yun Chen, Rui Hu, and Raquel Urtasun · 2019
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Sensor fusion for joint 3d object detection and semantic segmentation
Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, and Carlos Vallespi-Gonzalez · 2019
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Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, and Carl K. Wellington · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2020
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Multi-view fusion of sensor data for improved perception and prediction in autonomous driving
Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, and Carlos Vallespi-Gonzalez · 2020
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Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, and Yarin Gal · 2020
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Depth completion via inductive fusion of planar LIDAR and monocular camera
Chen Fu, Chiyu Dong, Christoph Mertz, and John M. Dolan · 2020
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End-to-end contextual perception and prediction with interaction transformer
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, and Raquel Urtasun · 2020
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Pnpnet: End-to-end perception and prediction with tracking in the loop
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, and Raquel Urtasun · 2020
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Laserflow: Efficient and probabilistic object detection and motion forecasting
Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, and Carl K. Wellington · 2020
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Learning situational driving
Eshed Ohn-Bar, Aditya Prakash, Aseem Behl, Kashyap Chitta, and Andreas Geiger · 2020
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Exploring data aggregation in policy learning for vision-based urban autonomous driving
Aditya Prakash, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, and Andreas Geiger · 2020
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Imagebert: Cross-modal pre-training with large-scale weak-supervised image-text data
Di Qi, L. Su, Jia Song, E. Cui, Taroon Bharti, and Arun Sacheti · 2020
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Deep imitative models for flexible inference, planning, and control
Nicholas Rhinehart, Rowan McAllister, and Sergey Levine · 2020
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End-to-end model-free reinforcement learning for urban driving using implicit affordances
Marin Toromanoff, Emilie Wirbel, and Fabien Moutarde · 2020
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Perceive, attend, and drive: Learning spatial attention for safe self-driving
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, and Raquel Urtasun · 2020
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Fighting copycat agents in behavioral cloning from observation histories
Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, and Yang Gao · 2020
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Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, and Kilian Q. Weinberger · 2020
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Stinet: Spatio-temporal-interactive network for pedestrian detection and trajectory prediction
Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, and Congcong Li · 2020
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