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PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for
  Planning, Control, and Simulation

PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation

23 September 2021
A. Kamenev
Lirui Wang
Ollin Boer Bohan
Ishwar Kulkarni
Bilal Kartal
Artem Molchanov
Stan Birchfield
David Nistér
Nikolai Smolyanskiy
ArXivPDFHTML

Papers citing "PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation"

35 / 35 papers shown
Title
C$^{2}$INet: Realizing Incremental Trajectory Prediction with
  Prior-Aware Continual Causal Intervention
C2^{2}2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention
Xiaohe Li
Feilong Huang
Zide Fan
Fangli Mou
Leilei Lin
Yingyan Hou
Lijie Wen
70
0
0
19 Nov 2024
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
Zhenghao Peng
Wenjie Luo
Yiren Lu
Tianyi Shen
Cole Gulino
Ari Seff
Justin Fu
26
6
0
26 Sep 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous
  Driving
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
Haochen Liu
Li Chen
Yu Qiao
Chen Lv
Hongyang Li
33
3
0
26 Sep 2024
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time
  Collision Avoidance with Discrete-Time Dynamics
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics
Luca Paparusso
Shreyas Kousik
Edward Schmerling
Francesco Braghin
Marco Pavone
40
2
0
03 Jun 2024
MoST: Multi-modality Scene Tokenization for Motion Prediction
MoST: Multi-modality Scene Tokenization for Motion Prediction
Norman Mu
Jingwei Ji
Zhenpei Yang
Nate Harada
Haotian Tang
...
Zoey Yang
Scott Ettinger
Rami Al-Rfou
Drago Anguelov
Yin Zhou
37
6
0
30 Apr 2024
CtRL-Sim: Reactive and Controllable Driving Agents with Offline
  Reinforcement Learning
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
Luke Rowe
Roger Girgis
Anthony Gosselin
Bruno Carrez
Florian Golemo
Felix Heide
Liam Paull
Christopher Pal
46
4
0
29 Mar 2024
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map
  Construction
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
Yi Zhou
Hui Zhang
Jiaqian Yu
Yifan Yang
Sangil Jung
Seungsang Park
ByungIn Yoo
3DPC
49
17
0
13 Mar 2024
Hybrid-Prediction Integrated Planning for Autonomous Driving
Hybrid-Prediction Integrated Planning for Autonomous Driving
Haochen Liu
Zhiyu Huang
Wenhui Huang
Haohan Yang
Xiaoyu Mo
Chen Lv
34
5
0
04 Feb 2024
Categorical Traffic Transformer: Interpretable and Diverse Behavior
  Prediction with Tokenized Latent
Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent
Yuxiao Chen
Sander Tonkens
Marco Pavone
32
9
0
30 Nov 2023
OSM vs HD Maps: Map Representations for Trajectory Prediction
OSM vs HD Maps: Map Representations for Trajectory Prediction
Jing-Yan Liao
Parth Doshi
Zihan Zhang
David Paz
Henrik I. Christensen
30
2
0
04 Nov 2023
Learning Realistic Traffic Agents in Closed-loop
Learning Realistic Traffic Agents in Closed-loop
Chris Zhang
James Tu
Lunjun Zhang
Kelvin Wong
Simon Suo
R. Urtasun
31
18
0
02 Nov 2023
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with
  Relative Pose Encoding
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
Zhejun Zhang
Alexander Liniger
Christos Sakaridis
Fisher Yu
Luc Van Gool
63
30
0
19 Oct 2023
Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social
  Mini-Games via Discrete-Time Control Barrier Functions
Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions
Rohan Chandra
Vrushabh Zinage
E. Bakolas
Peter Stone
Joydeep Biswas
37
4
0
21 Aug 2023
CASPNet++: Joint Multi-Agent Motion Prediction
CASPNet++: Joint Multi-Agent Motion Prediction
Maximilian Schäfer
Kun-li Zhao
A. Kummert
28
6
0
15 Aug 2023
Multi-Predictor Fusion: Combining Learning-based and Rule-based
  Trajectory Predictors
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
Sushant Veer
Apoorva Sharma
Marco Pavone
26
4
0
03 Jul 2023
Occupancy Prediction-Guided Neural Planner for Autonomous Driving
Occupancy Prediction-Guided Neural Planner for Autonomous Driving
Haochen Liu
Zhiyu Huang
Chen Lv
25
13
0
05 May 2023
Task-Aware Risk Estimation of Perception Failures for Autonomous
  Vehicles
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
Pasquale Antonante
Sushant Veer
Zheng Li
Xinshuo Weng
Luca Carlone
Marco Pavone
49
9
0
03 May 2023
Interpretable Motion Planner for Urban Driving via Hierarchical
  Imitation Learning
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning
Bikun Wang
Zhipeng Wang
Chenhao Zhu
Zhiqiang Zhang
Zhichen Wang
Penghong Lin
Jingchu Liu
Qian Zhang
36
5
0
24 Mar 2023
TrafficBots: Towards World Models for Autonomous Driving Simulation and
  Motion Prediction
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
Zhejun Zhang
Alexander Liniger
Dengxin Dai
F. I. F. Richard Yu
Luc Van Gool
74
42
0
07 Mar 2023
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Pei Xu
J. Hayet
Ioannis Karamouzas
34
16
0
21 Feb 2023
Exploring Navigation Maps for Learning-Based Motion Prediction
Exploring Navigation Maps for Learning-Based Motion Prediction
Julian Schmidt
Julian Jordan
Franz Gritschneder
T. Monninger
Klaus C. J. Dietmayer
35
3
0
13 Feb 2023
Tree-structured Policy Planning with Learned Behavior Models
Tree-structured Policy Planning with Learned Behavior Models
Yuxiao Chen
Peter Karkus
Boris Ivanovic
Xinshuo Weng
Marco Pavone
28
26
0
27 Jan 2023
Planning-oriented Autonomous Driving
Planning-oriented Autonomous Driving
Yi Hu
Jiazhi Yang
Li Chen
Keyu Li
Chonghao Sima
...
Xiaosong Jia
Qiang Liu
Jifeng Dai
Yu Qiao
Hongyang Li
49
589
0
20 Dec 2022
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
Sushant Veer
Karen Leung
Ryan K. Cosner
Yuxiao Chen
Peter Karkus
Marco Pavone
16
12
0
06 Dec 2022
Safe Real-World Autonomous Driving by Learning to Predict and Plan with
  a Mixture of Experts
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
S. Pini
C. Perone
Aayush Ahuja
Ana Ferreira
Moritz Niendorf
Sergey Zagoruyko
26
36
0
03 Nov 2022
Expanding the Deployment Envelope of Behavior Prediction via Adaptive
  Meta-Learning
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
Boris Ivanovic
James Harrison
Marco Pavone
AI4CE
20
27
0
23 Sep 2022
STrajNet: Multi-modal Hierarchical Transformer for Occupancy Flow Field
  Prediction in Autonomous Driving
STrajNet: Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving
Haochen Liu
Zhiyu Huang
Chen Lv
12
10
0
31 Jul 2022
ScePT: Scene-consistent, Policy-based Trajectory Predictions for
  Planning
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
Yuxiao Chen
Boris Ivanovic
Marco Pavone
43
76
0
18 Jun 2022
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous
  Vehicles
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles
Yu-Shun Hsiao
S. Hari
Michal Filipiuk
Timothy Tsai
Michael B. Sullivan
Vijay Janapa Reddi
Vasu Singh
S. Keckler
26
3
0
06 May 2022
Separating the World and Ego Models for Self-Driving
Separating the World and Ego Models for Self-Driving
Vlad Sobal
A. Canziani
Nicolas Carion
Kyunghyun Cho
Yann LeCun
23
5
0
14 Apr 2022
Learning from All Vehicles
Learning from All Vehicles
Dian Chen
Philipp Krahenbuhl
33
176
0
22 Mar 2022
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via
  Differentiable Simulation
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Adam Scibior
Vasileios Lioutas
Daniele Reda
Peyman Bateni
Frank D. Wood
VGen
56
47
0
22 Apr 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simon Suo
S. Regalado
Sergio Casas
R. Urtasun
151
224
0
17 Jan 2021
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
152
155
0
23 Jul 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,632
0
02 Feb 2020
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