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TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving

TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

31 May 2022
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
    ViT
ArXivPDFHTML

Papers citing "TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving"

27 / 27 papers shown
Title
Learning Streaming Video Representation via Multitask Training
Learning Streaming Video Representation via Multitask Training
Yibin Yan
Jilan Xu
Shangzhe Di
Yikun Liu
Yudi Shi
Qirui Chen
Zeqian Li
Yifei Huang
Weidi Xie
CLL
76
0
0
28 Apr 2025
ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving
ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving
Renju Feng
Ning Xi
Duanfeng Chu
Rukang Wang
Zejian Deng
Anzheng Wang
Liping Lu
Jinxiang Wang
Yanjun Huang
42
0
0
28 Apr 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards
CaRL: Learning Scalable Planning Policies with Simple Rewards
Bernhard Jaeger
D. Dauner
Jens Beißwenger
Simon Gerstenecker
Kashyap Chitta
Andreas Geiger
43
0
0
24 Apr 2025
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection
Qiang Qi
Xiao Wang
ViT
55
0
0
18 Mar 2025
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving
Zebin Xing
X. Zhang
Yang Hu
Bo Jiang
Tong He
Qian Zhang
Xiaoxiao Long
Wei Yin
54
2
0
07 Mar 2025
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
Dongkun Zhang
Jiaming Liang
Ke Guo
Sha Lu
Qi Wang
R. Xiong
Zhenwei Miao
Yue Wang
55
1
0
27 Feb 2025
VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
Florent Bartoccioni
Elias Ramzi
Victor Besnier
Shashanka Venkataramanan
Tuan-Hung Vu
...
Mickael Chen
Éloi Zablocki
Andrei Bursuc
Eduardo Valle
Matthieu Cord
VGen
59
1
0
24 Feb 2025
DriveLM: Driving with Graph Visual Question Answering
DriveLM: Driving with Graph Visual Question Answering
Chonghao Sima
Katrin Renz
Kashyap Chitta
L. Chen
Hanxue Zhang
Chengen Xie
Jens Beißwenger
Ping Luo
Andreas Geiger
Hongyang Li
68
159
0
17 Jan 2025
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
Bencheng Liao
Shaoyu Chen
Haoran Yin
Bo Jiang
Cheng Wang
...
Xinbang Zhang
Xiangyu Li
Y. Zhang
Qian Zhang
Xinggang Wang
77
14
0
22 Nov 2024
Vista: A Generalizable Driving World Model with High Fidelity and
  Versatile Controllability
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Shenyuan Gao
Jiazhi Yang
Li Chen
Kashyap Chitta
Yihang Qiu
Andreas Geiger
Jun Zhang
Hongyang Li
21
75
0
27 May 2024
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System
Genjia Liu
Yue Hu
Chenxin Xu
Weibo Mao
Junhao Ge
...
Yifan Lu
Yinda Xu
Junkai Xia
Yafei Wang
Siheng Chen
55
7
0
15 Apr 2024
LangProp: A code optimization framework using Large Language Models
  applied to driving
LangProp: A code optimization framework using Large Language Models applied to driving
Shu Ishida
Gianluca Corrado
George Fedoseev
Hudson Yeo
Lloyd Russell
Jamie Shotton
João F. Henriques
Anthony Hu
26
11
0
18 Jan 2024
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
Hao Shao
Yuxuan Hu
Letian Wang
Steven L. Waslander
Yu Liu
Hongsheng Li
ELM
16
109
0
12 Dec 2023
Object Importance Estimation using Counterfactual Reasoning for
  Intelligent Driving
Object Importance Estimation using Counterfactual Reasoning for Intelligent Driving
Pranay Gupta
Abhijat Biswas
H. Admoni
David Held
14
2
0
05 Dec 2023
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for
  Autonomous Driving with Multi-Task Learning
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning
Pedram Agand
Mohammad Mahdavian
Manolis Savva
Mo Chen
ViT
10
4
0
19 Oct 2023
Learning to Drive Anywhere
Learning to Drive Anywhere
Ruizhao Zhu
Peng Huang
Eshed Ohn-Bar
Venkatesh Saligrama
14
6
0
21 Sep 2023
Complementing Onboard Sensors with Satellite Map: A New Perspective for
  HD Map Construction
Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction
Wenjie Gao
Jiawei Fu
Yanqing Shen
Haodong Jing
Shitao Chen
Nanning Zheng
12
15
0
29 Aug 2023
DeepIPCv2: LiDAR-powered Robust Environmental Perception and
  Navigational Control for Autonomous Vehicle
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle
Oskar Natan
J. Miura
3DPC
8
1
0
13 Jul 2023
Penalty-Based Imitation Learning With Cross Semantics Generation Sensor
  Fusion for Autonomous Driving
Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving
Hongkuan Zhou
Aifen Sui
Letian Shi
Yinxian Li
14
2
0
21 Mar 2023
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
30
4
0
19 Oct 2022
Learning to drive from a world on rails
Learning to drive from a world on rails
Di Chen
V. Koltun
Philipp Krahenbuhl
88
99
0
03 May 2021
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting
  through Multi-View Fusion of LiDAR Data
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data
A. Laddha
Shivam Gautam
Stefan Palombo
Shreyash Pandey
Carlos Vallespi-Gonzalez
3DPC
78
26
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
149
362
0
20 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
98
126
0
16 Jan 2021
Investigating the Effect of Sensor Modalities in Multi-Sensor
  Detection-Prediction Models
Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models
Abhishek Mohta
Fang-Chieh Chou
Brian C. Becker
Carlos Vallespi-Gonzalez
Nemanja Djuric
67
3
0
09 Jan 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang
Binh Yang
Shenlong Wang
R. Urtasun
3DPC
177
775
0
20 Dec 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
160
190
0
18 Oct 2019
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