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LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving

LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving

16 January 2021
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
ArXivPDFHTML

Papers citing "LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving"

32 / 32 papers shown
Title
A Survey of World Models for Autonomous Driving
A Survey of World Models for Autonomous Driving
Tuo Feng
Wenguan Wang
Y. Yang
VGen
75
6
0
20 Jan 2025
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
Ehsan Ahmadi
Ray Coden Mercurius
Soheil Alizadeh
K. Rezaee
Amir Rasouli
AAML
36
0
0
23 Sep 2024
Annealed Winner-Takes-All for Motion Forecasting
Annealed Winner-Takes-All for Motion Forecasting
Yihong Xu
Victor Letzelter
Mickaël Chen
Éloi Zablocki
Matthieu Cord
101
1
0
17 Sep 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
30
13
0
12 Jun 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
38
4
0
17 Mar 2024
Tractable Joint Prediction and Planning over Discrete Behavior Modes for
  Urban Driving
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving
Adam R. Villaflor
Brian Yang
Huangyuan Su
Katerina Fragkiadaki
John M. Dolan
Jeff Schneider
31
0
0
12 Mar 2024
RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions
RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions
Khaled A. Mustafa
Daniel Jarne Ornia
Jens Kober
Javier Alonso-Mora
57
4
0
27 Feb 2024
Communication-Critical Planning via Multi-Agent Trajectory Exchange
Communication-Critical Planning via Multi-Agent Trajectory Exchange
Nathan Glaser
Z. Kira
17
2
0
10 Mar 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility
  Constraints
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
Laura Calem
H. Ben-younes
P. Pérez
Nicolas Thome
22
3
0
07 Feb 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
Tree-structured Policy Planning with Learned Behavior Models
Tree-structured Policy Planning with Learned Behavior Models
Yuxiao Chen
Peter Karkus
B. Ivanovic
Xinshuo Weng
Marco Pavone
15
26
0
27 Jan 2023
Collaborative Perception in Autonomous Driving: Methods, Datasets and
  Challenges
Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges
Yushan Han
Hui Zhang
Huifang Li
Yi Jin
Congyan Lang
Yidong Li
23
100
0
16 Jan 2023
Diffusion-based Generation, Optimization, and Planning in 3D Scenes
Diffusion-based Generation, Optimization, and Planning in 3D Scenes
Siyuan Huang
Zan Wang
Puhao Li
Baoxiong Jia
Tengyu Liu
Yixin Zhu
Wei Liang
Song-Chun Zhu
DiffM
44
199
0
15 Jan 2023
DiffStack: A Differentiable and Modular Control Stack for Autonomous
  Vehicles
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
Peter Karkus
B. Ivanovic
Shie Mannor
Marco Pavone
23
45
0
13 Dec 2022
GET-DIPP: Graph-Embedded Transformer for Differentiable Integrated
  Prediction and Planning
GET-DIPP: Graph-Embedded Transformer for Differentiable Integrated Prediction and Planning
Jiawei Sun
Chengran Yuan
Shuo Sun
Zhiyang Liu
Terence Goh
A. Wong
K. P. Tee
M. Ang
18
5
0
11 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
18
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
28
94
0
25 Oct 2022
RAP: Risk-Aware Prediction for Robust Planning
RAP: Risk-Aware Prediction for Robust Planning
Haruki Nishimura
Jean-Pierre Mercat
Blake Wulfe
R. McAllister
Adrien Gaidon
OOD
33
17
0
04 Oct 2022
Efficient Speed Planning for Autonomous Driving in Dynamic Environment
  with Interaction Point Model
Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model
Yingbing Chen
Ren Xin
Jie-Zhi Cheng
Qingwen Zhang
Xiaodong Mei
Ming-Yu Liu
Lujia Wang
13
13
0
19 Sep 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
15
226
0
15 Jul 2022
ScePT: Scene-consistent, Policy-based Trajectory Predictions for
  Planning
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
Yuxiao Chen
B. Ivanovic
Marco Pavone
21
76
0
18 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
89
295
0
31 May 2022
Learning from All Vehicles
Learning from All Vehicles
Dian Chen
Philipp Krahenbuhl
19
175
0
22 Mar 2022
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Thomas Gilles
S. Sabatini
D. Tsishkou
B. Stanciulescu
Fabien Moutarde
23
129
0
13 Oct 2021
Contingencies from Observations: Tractable Contingency Planning with
  Learned Behavior Models
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
Nicholas Rhinehart
Jeff He
Charles Packer
Matthew A. Wright
R. McAllister
Joseph E. Gonzalez
Sergey Levine
101
32
0
21 Apr 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
154
365
0
20 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
147
155
0
23 Jul 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context
  Understanding
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seonguk Park
Gyubok Lee
Manoj Bhat
Jimin Seo
Minseok Kang
Jonathan M Francis
Ashwin R. Jadhav
Paul Pu Liang
Louis-Philippe Morency
128
118
0
06 Mar 2020
Spatially-Aware Graph Neural Networks for Relational Behavior
  Forecasting from Sensor Data
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
174
211
0
18 Oct 2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Ajay Jain
Sergio Casas
Renjie Liao
Yuwen Xiong
Song Feng
Sean Segal
R. Urtasun
138
73
0
17 Oct 2019
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
Jianqi Ma
Weiyuan Shao
Hao Ye
Li Wang
Hong Wang
Yingbin Zheng
Xiangyang Xue
158
1,175
0
03 Mar 2017
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
190
520
0
21 Sep 2016
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