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Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable
  Semantic Representations

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

13 August 2020
Abbas Sadat
Sergio Casas
Mengye Ren
Xinyu Wu
Pranaab Dhawan
R. Urtasun
    3DV
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Papers citing "Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations"

50 / 52 papers shown
Title
M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark
M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark
Morui Zhu
Yongqi Zhu
Yihao Zhu
Qi Chen
Deyuan Qu
Song Fu
Q. Yang
26
0
0
10 May 2025
Drive in Corridors: Enhancing the Safety of End-to-end Autonomous Driving via Corridor Learning and Planning
Drive in Corridors: Enhancing the Safety of End-to-end Autonomous Driving via Corridor Learning and Planning
Zhiwei Zhang
Ruichen Yang
Ke Wu
Zijun Xu
Jingchu Liu
Lisen Mu
Zhongxue Gan
Wenchao Ding
37
0
0
10 Apr 2025
End-to-End Driving with Online Trajectory Evaluation via BEV World Model
End-to-End Driving with Online Trajectory Evaluation via BEV World Model
Yingyan Li
Yuqi Wang
Yang Liu
Jiawei He
Lue Fan
Zhaoxiang Zhang
OffRL
160
1
0
02 Apr 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Y. Yang
Xiao Lin
Zhipeng Zhao
SSL
86
9
0
28 Jan 2025
Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning
Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning
Xiaolei Chen
Junchi Yan
Wenlong Liao
Tao He
Pai Peng
43
2
0
22 Jan 2025
A Survey of World Models for Autonomous Driving
A Survey of World Models for Autonomous Driving
Tuo Feng
Wenguan Wang
Y. Yang
VGen
80
6
0
20 Jan 2025
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
Yu Yang
Jianbiao Mei
Yukai Ma
Siliang Du
Wenqing Chen
Yijie Qian
Yuxiang Feng
Yong-jin Liu
92
11
0
20 Jan 2025
iWalker: Imperative Visual Planning for Walking Humanoid Robot
iWalker: Imperative Visual Planning for Walking Humanoid Robot
Xiao Lin
Yuhao Huang
Taimeng Fu
Xiaobin Xiong
Chen Wang
36
0
0
27 Sep 2024
RenderWorld: World Model with Self-Supervised 3D Label
RenderWorld: World Model with Self-Supervised 3D Label
Ziyang Yan
Wenzhen Dong
Yihua Shao
Yuhang Lu
Liu Haiyang
...
Haozhe Wang
Zhe Wang
Yan Wang
Fabio Remondino
Yuexin Ma
3DV
VGen
72
13
0
17 Sep 2024
RoadPainter: Points Are Ideal Navigators for Topology transformER
RoadPainter: Points Are Ideal Navigators for Topology transformER
Zhongxing Ma
Shuang Liang
Yongkun Wen
Weixin Lu
Guowei Wan
ViT
3DPC
33
5
0
22 Jul 2024
FASTC: A Fast Attentional Framework for Semantic Traversability
  Classification Using Point Cloud
FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud
Yirui Chen
Pengjin Wei
Zhenhuan Liu
Bingchao Wang
Jie Yang
Wei Liu
3DPC
41
1
0
24 Jun 2024
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
Ben Agro
Quinlan Sykora
Sergio Casas
Thomas Gilles
R. Urtasun
43
13
0
12 Jun 2024
Enhancing End-to-End Autonomous Driving with Latent World Model
Enhancing End-to-End Autonomous Driving with Latent World Model
Yingyan Li
Lue Fan
Jiawei He
Yuqi Wang
Yuntao Chen
Zhaoxiang Zhang
Tieniu Tan
77
8
0
12 Jun 2024
DualAD: Disentangling the Dynamic and Static World for End-to-End
  Driving
DualAD: Disentangling the Dynamic and Static World for End-to-End Driving
Simon Doll
Niklas Hanselmann
Lukas Schneider
Richard Schulz
Marius Cordts
Markus Enzweiler
Hendrik P. A. Lensch
38
5
0
10 Jun 2024
Physical Backdoor Attack can Jeopardize Driving with
  Vision-Large-Language Models
Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models
Zhenyang Ni
Rui Ye
Yuxian Wei
Zhen Xiang
Yanfeng Wang
Siheng Chen
AAML
36
9
0
19 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
69
6
0
18 Mar 2024
Towards learning-based planning:The nuPlan benchmark for real-world
  autonomous driving
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving
Napat Karnchanachari
Dimitris Geromichalos
Kok Seang Tan
Nanxiang Li
Christopher Eriksen
...
N. Mehdipour
Gianmarco Bernasconi
Whye Kit Fong
Yiluan Guo
Holger Caesar
32
31
0
07 Mar 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented
  In-Context Learning in Multi-Modal Large Language Model
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
Jianhao Yuan
Shuyang Sun
Daniel Omeiza
Bo-Lu Zhao
Paul Newman
Lars Kunze
Matthew Gadd
LRM
36
48
0
16 Feb 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic
  Review
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
Anton Kuznietsov
Balint Gyevnar
Cheng Wang
Steven Peters
Stefano V. Albrecht
XAI
28
26
0
08 Feb 2024
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via
  Discrete Diffusion
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
Lunjun Zhang
Yuwen Xiong
Ze Yang
Sergio Casas
Rui Hu
R. Urtasun
39
50
0
02 Nov 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
114
159
0
04 Oct 2023
Motion Planning for Autonomous Driving: The State of the Art and Future
  Perspectives
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Siyu Teng
Xuemin Hu
Peng Deng
Bai Li
Yuchen Li
...
Yunfeng Ai
Lingxi Li
Zhe Xuanyuan
F. Zhu
Long Chen
40
336
0
17 Mar 2023
Communication-Critical Planning via Multi-Agent Trajectory Exchange
Communication-Critical Planning via Multi-Agent Trajectory Exchange
Nathan Glaser
Z. Kira
30
2
0
10 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving
Deep Occupancy-Predictive Representations for Autonomous Driving
Eivind Meyer
Lars Frederik Peiss
Matthias Althoff
37
3
0
07 Mar 2023
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A
  Comprehensive Review
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
88
25
0
02 Mar 2023
ADAPT: Action-aware Driving Caption Transformer
ADAPT: Action-aware Driving Caption Transformer
Bu Jin
Xinyi Liu
Yupeng Zheng
Pengfei Li
Hao Zhao
Tong Zhang
Yuhang Zheng
Guyue Zhou
Jingjing Liu
25
69
0
01 Feb 2023
Improving safety in mixed traffic: A learning-based model predictive
  control for autonomous and human-driven vehicle platooning
Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning
Jie Wang
Zhihao Jiang
Yash Vardhan Pant
16
14
0
09 Nov 2022
Estimation of Appearance and Occupancy Information in Birds Eye View
  from Surround Monocular Images
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images
Sarthak Sharma
U. R. Nair
Udit Singh Parihar
M. S. Menon
Srikanth Vidapanakal
19
0
0
08 Nov 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
23
36
0
03 Nov 2022
PlanT: Explainable Planning Transformers via Object-Level
  Representations
PlanT: Explainable Planning Transformers via Object-Level Representations
Katrin Renz
Kashyap Chitta
Otniel-Bogdan Mercea
A. Sophia Koepke
Zeynep Akata
Andreas Geiger
ViT
36
94
0
25 Oct 2022
Differentiable Raycasting for Self-supervised Occupancy Forecasting
Differentiable Raycasting for Self-supervised Occupancy Forecasting
Tarasha Khurana
Peiyun Hu
Achal Dave
Jason Ziglar
David Held
Deva Ramanan
13
67
0
04 Oct 2022
Differentiable Integrated Motion Prediction and Planning with Learnable
  Cost Function for Autonomous Driving
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving
Zhiyu Huang
Haochen Liu
Jingda Wu
Chen Lv
37
91
0
21 Jul 2022
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal
  Feature Learning
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning
Shengchao Hu
Li Chen
Peng Wu
Hongyang Li
Junchi Yan
Dacheng Tao
28
226
0
15 Jul 2022
VectorMapNet: End-to-end Vectorized HD Map Learning
VectorMapNet: End-to-end Vectorized HD Map Learning
Yicheng Liu
Tianyuan Yuan
Yue Wang
Yilun Wang
Hang Zhao
21
188
0
17 Jun 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving:
  A Simple yet Strong Baseline
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Peng Wu
Xiaosong Jia
Li Chen
Junchi Yan
Hongyang Li
Yu Qiao
30
182
0
16 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
ViT
104
295
0
31 May 2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation
  via Kinematics Gradients
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
Niklas Hanselmann
Katrin Renz
Kashyap Chitta
Apratim Bhattacharyya
Andreas Geiger
29
86
0
28 Apr 2022
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous
  Driving
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
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep
  Q-Learning and Graph Attention Networks
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yu Liu
GNN
35
39
0
11 Aug 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans
Lirui Wang
Xiangyun Meng
Yu Xiang
D. Fox
3DPC
DRL
16
27
0
04 Jul 2021
End-to-End Interactive Prediction and Planning with Optical Flow
  Distillation for Autonomous Driving
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving
Hengli Wang
Peide Cai
Rui Fan
Yuxiang Sun
Ming-Yu Liu
37
23
0
18 Apr 2021
DiffCo: Auto-Differentiable Proxy Collision Detection with Multi-class
  Labels for Safety-Aware Trajectory Optimization
DiffCo: Auto-Differentiable Proxy Collision Detection with Multi-class Labels for Safety-Aware Trajectory Optimization
Yuheng Zhi
Nikhil Das
Michael C. Yip
17
28
0
15 Feb 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
163
365
0
20 Jan 2021
Deep Structured Reactive Planning
Deep Structured Reactive Planning
Jerry Liu
Wenyuan Zeng
R. Urtasun
Ersin Yumer
72
30
0
18 Jan 2021
Deep Multi-Task Learning for Joint Localization, Perception, and
  Prediction
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
John Phillips
Julieta Martinez
Ioan Andrei Bârsan
Sergio Casas
Abbas Sadat
R. Urtasun
35
36
0
17 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion
  Forecasting
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
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
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
37
169
0
13 Jan 2021
DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic
  Scenarios with Graph Neural Networks
DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yu Liu
GNN
14
14
0
13 Nov 2020
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
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