Self-Supervised Action-Space Prediction for Automated Driving

21 September 2021

J. Marius Zöllner

Papers citing "Self-Supervised Action-Space Prediction for Automated Driving"

32 / 32 papers shown

Title
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 214 366 0 20 Jan 2021
What-If Motion Prediction for Autonomous Driving Siddhesh Khandelwal William Qi Jagjeet Singh Andrew Hartnett Deva Ramanan 152 115 0 24 Aug 2020
Action-Based Representation Learning for Autonomous Driving Yi Xiao Felipe Codevilla C. Pal Antonio M. López 71 10 0 21 Aug 2020
TNT: Target-driveN Trajectory Prediction Hang Zhao Jiyang Gao Tian-Shing Lan Chen Sun Benjamin Sapp ... Yi Shen Yuning Chai Cordelia Schmid Congcong Li Dragomir Anguelov 73 542 0 19 Aug 2020
Learning Lane Graph Representations for Motion Forecasting Ming Liang Binh Yang Rui Hu Yun Chen Renjie Liao Song Feng R. Urtasun 54 560 0 27 Jul 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 186 157 0 23 Jul 2020
MultiXNet: Multiclass Multistage Multimodal Motion Prediction Nemanja Djuric Henggang Cui Zhaoen Su Shangxuan Wu Huahua Wang ... Sidney Zhang Brian C. Becker Gregory P. Meyer Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 45 50 0 03 Jun 2020
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop Ming Liang Binh Yang Wenyuan Zeng Yun Chen Rui Hu Sergio Casas R. Urtasun 48 179 0 29 May 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation Jiyang Gao Chen Sun Hang Zhao Yi Shen Dragomir Anguelov Congcong Li Cordelia Schmid 103 802 0 08 May 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 41 231 0 13 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 242 42,038 0 03 Dec 2019
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling Xin Huang Stephen G. McGill Jonathan A. DeCastro L. Fletcher J. Leonard B. Williams Guy Rosman GAN 106 77 0 28 Nov 2019
CoverNet: Multimodal Behavior Prediction using Trajectory Sets Tung Phan-Minh E. Grigore Freddy A. Boulton Oscar Beijbom Eric M. Wolff 76 379 0 23 Nov 2019
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections Julian Bock R. Krajewski Tobias Moers Steffen Runde Lennart Vater L. Eckstein AI4TS 50 359 0 18 Nov 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 58 352 0 04 Nov 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 76 659 0 12 Oct 2019
Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions Henggang Cui Thi Nguyen Fang-Chieh Chou Tsung-Han Lin J. Schneider David Bradley Nemanja Djuric 38 25 0 01 Aug 2019
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions Joey Hong Benjamin Sapp James Philbin 72 243 0 21 Jun 2019
Human Motion Trajectory Prediction: A Survey Andrey Rudenko Luigi Palmieri Michael Herman Kris Kitani D. Gavrila Kai O. Arras 79 731 0 15 May 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings Nicholas Rhinehart R. McAllister Kris Kitani Sergey Levine 47 373 0 03 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning Priya Goyal D. Mahajan Abhinav Gupta Ishan Misra SSL 47 397 0 03 May 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 231 5,653 0 26 Mar 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 120 716 0 25 Jan 2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Mayank Bansal A. Krizhevsky A. Ogale OOD 64 736 0 07 Dec 2018
Deep Imitative Models for Flexible Inference, Planning, and Control Nicholas Rhinehart R. McAllister Sergey Levine 58 148 0 15 Oct 2018
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks Henggang Cui Vladan Radosavljevic Fang-Chieh Chou Tsung-Han Lin Thi Nguyen Tzu-Kuo Huang J. Schneider Nemanja Djuric 45 607 0 18 Sep 2018
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving Nemanja Djuric Vladan Radosavljevic Henggang Cui Thi Nguyen Fang-Chieh Chou Tsung-Han Lin Nitin Singh J. Schneider 73 206 0 17 Aug 2018
Learning to Poke by Poking: Experiential Learning of Intuitive Physics Pulkit Agrawal Ashvin Nair Pieter Abbeel Jitendra Malik Sergey Levine SSL 44 562 0 23 Jun 2016
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles B. Paden Michal Cap Sze Zheng Yong Dmitry S. Yershov Emilio Frazzoli 43 2,017 0 25 Apr 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 46 4,153 0 25 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 806 149,474 0 22 Dec 2014