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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

3 November 2022
S. Pini
C. Perone
Aayush Ahuja
Ana Ferreira
Moritz Niendorf
Sergey Zagoruyko
ArXivPDFHTML

Papers citing "Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts"

24 / 24 papers shown
Title
Two Tasks, One Goal: Uniting Motion and Planning for Excellent End To End Autonomous Driving Performance
Two Tasks, One Goal: Uniting Motion and Planning for Excellent End To End Autonomous Driving Performance
Lin Liu
Ziying Song
Hongyu Pan
Lei Yang
Caiyan Jia
39
0
0
17 Apr 2025
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
Junrui Zhang
Chenjie Wang
Jie Peng
Haoyu Li
Jianmin Ji
Yu Zhang
Y. Zhang
38
0
0
09 Apr 2025
Enhancing Autonomous Driving Safety with Collision Scenario Integration
Zi Wang
Shiyi Lan
Xinglong Sun
Nadine Chang
Zhenxin Li
Zhiding Yu
Jose M. Alvarez
44
1
0
05 Mar 2025
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
Learning Multiple Probabilistic Decisions from Latent World Model in
  Autonomous Driving
Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving
Lingyu Xiao
Jiang-Jiang Liu
Sen Yang
Xiaofan Li
Xiaoqing Ye
Wankou Yang
Jingdong Wang
36
0
0
24 Sep 2024
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based
  Transfer Imitation Learning
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
Fangze Lin
Ying He
Fei Yu
39
0
0
26 Jul 2024
Rethinking Closed-loop Planning Framework for Imitation-based Model
  Integrating Prediction and Planning
Rethinking Closed-loop Planning Framework for Imitation-based Model Integrating Prediction and Planning
Jiayu Guo
Mingyue Feng
Pengfei Zhu
Chengjun Li
Jian Pu
48
1
0
07 Jul 2024
CoCoGesture: Toward Coherent Co-speech 3D Gesture Generation in the Wild
CoCoGesture: Toward Coherent Co-speech 3D Gesture Generation in the Wild
Xingqun Qi
Hengyuan Zhang
Yatian Wang
J. Pan
Chen Liu
...
Qixun Zhang
Shanghang Zhang
Wenhan Luo
Qifeng Liu
Qi-fei Liu
DiffM
SLR
110
5
0
27 May 2024
Integration of Mixture of Experts and Multimodal Generative AI in
  Internet of Vehicles: A Survey
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Minrui Xu
Dusit Niyato
Jiawen Kang
Zehui Xiong
Abbas Jamalipour
Yuguang Fang
Dong In Kim
Xuemin
X. Shen
28
5
0
25 Apr 2024
PLUTO: Pushing the Limit of Imitation Learning-based Planning for
  Autonomous Driving
PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving
Jie-Zhi Cheng
Ying-Cong Chen
Qifeng Chen
VLM
54
24
0
22 Apr 2024
Trajectory Planning for Autonomous Vehicle Using Iterative Reward
  Prediction in Reinforcement Learning
Trajectory Planning for Autonomous Vehicle Using Iterative Reward Prediction in Reinforcement Learning
Hyunwoo Park
22
0
0
18 Apr 2024
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning
  with Value-based Dataset
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Dongsu Lee
Chanin Eom
Minhae Kwon
GP
OffRL
22
5
0
03 Apr 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
Steffen Hagedorn
Marcel Milich
A. P. Condurache
50
4
0
17 Mar 2024
GenAD: Generative End-to-End Autonomous Driving
GenAD: Generative End-to-End Autonomous Driving
Wenzhao Zheng
Ruiqi Song
Xianda Guo
Chenming Zhang
Long Chen
29
48
0
18 Feb 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
31
5
0
04 Feb 2024
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and
  Interactive Autonomous Driving in Urban Environments
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
Sang-Hyun Lee
Yoonjae Jung
Seung-Woo Seo
29
1
0
17 Nov 2023
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory
  Prediction Models for Autonomous Driving
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving
Changhe Chen
Mozhgan Pourkeshavarz
Amir Rasouli
27
3
0
11 Oct 2023
Rethinking Imitation-based Planner for Autonomous Driving
Rethinking Imitation-based Planner for Autonomous Driving
Jie-Zhi Cheng
Yingbing Chen
Xiaodong Mei
Bowen Yang
Bo Li
Ming-Yu Liu
54
18
0
19 Sep 2023
Parting with Misconceptions about Learning-based Vehicle Motion Planning
Parting with Misconceptions about Learning-based Vehicle Motion Planning
D. Dauner
Marcel Hallgarten
Andreas Geiger
Kashyap Chitta
24
113
0
13 Jun 2023
From Prediction to Planning With Goal Conditioned Lane Graph Traversals
From Prediction to Planning With Goal Conditioned Lane Graph Traversals
Marcel Hallgarten
Martin Stoll
A. Zell
AI4CE
25
31
0
15 Feb 2023
Identifying Driver Interactions via Conditional Behavior Prediction
Identifying Driver Interactions via Conditional Behavior Prediction
Ekaterina V. Tolstaya
R. Mahjourian
Carlton Downey
Balakrishnan Varadarajan
Benjamin Sapp
Drago Anguelov
124
71
0
20 Apr 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
111
126
0
16 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
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
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