Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

17 October 2019

Papers citing "Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction"

22 / 22 papers shown

Title
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 33 6 0 02 May 2023
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review Yining Shi Kun Jiang Jiusi Li Zelin Qian Jun Wen Mengmeng Yang Ke Wang Diange Yang 91 25 0 02 Mar 2023
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation Hugues Thomas Jian Zhang Timothy D. Barfoot 3DPC 29 4 0 26 Aug 2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting Bohan Tang Yiqi Zhong Chenxin Xu Wei Wu Ulrich Neumann Yanfeng Wang Ya Zhang Siheng Chen 36 9 0 11 Jul 2022
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving Jinkyu Kim R. Mahjourian Scott Ettinger Mayank Bansal Brandyn White Benjamin Sapp Drago Anguelov 15 23 0 02 Jun 2022
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models Marvin Klingner Konstantin Müller Mona Mirzaie Jasmin Breitenstein Jan-Aike Termöhlen Tim Fingscheidt 25 4 0 01 Jun 2022
CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction A. Postnikov A. Gamayunov Gonzalo Ferrer 21 5 0 07 Sep 2021
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving Xuanchi Ren Tao Yang Erran L. Li Alexandre Alahi Qifeng Chen 30 24 0 03 Sep 2021
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering Raunak P. Bhattacharyya Soyeon Jung Liam A. Kruse Ransalu Senanayake Mykel Kochenderfer 18 26 0 29 Aug 2021
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes Hugues Thomas Matthieu Gallet de Saint Aurin Jian Zhang T. Barfoot 19 12 0 24 Aug 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 163 365 0 20 Jan 2021
MP3: A Unified Model to Map, Perceive, Predict and Plan Sergio Casas Abbas Sadat R. Urtasun 3DV 27 223 0 18 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting Wenyuan Zeng Ming Liang Renjie Liao R. Urtasun GNN 28 176 0 17 Jan 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving Alexander Cui Sergio Casas Abbas Sadat Renjie Liao R. Urtasun 111 127 0 16 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 24 115 0 02 Jan 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang Binh Yang Shenlong Wang R. Urtasun 3DPC 208 840 0 20 Dec 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations Abbas Sadat Sergio Casas Mengye Ren Xinyu Wu Pranaab Dhawan R. Urtasun 3DV 38 191 0 13 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 161 155 0 23 Jul 2020
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data Tim Salzmann Boris Ivanovic Punarjay Chakravarty Marco Pavone 30 130 0 09 Jan 2020
Crowd Density Forecasting by Modeling Patch-based Dynamics H. Minoura Ryo Yonetani Mai Nishimura Yoshitaka Ushiku 33 12 0 22 Nov 2019
Human Motion Trajectory Prediction: A Survey Andrey Rudenko Luigi Palmieri Michael Herman Kris M. Kitani D. Gavrila Kai O. Arras 34 726 0 15 May 2019
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,906 0 13 Jun 2015