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Probabilistic End-to-End Vehicle Navigation in Complex Dynamic
  Environments with Multimodal Sensor Fusion

Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion

5 May 2020
Peide Cai
Sukai Wang
Yuxiang Sun
Ming-Yuan Liu
ArXivPDFHTML

Papers citing "Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion"

18 / 18 papers shown
Title
VTGNet: A Vision-based Trajectory Generation Network for Autonomous
  Vehicles in Urban Environments
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments
Peide Cai
Yuxiang Sun
Haoyu Wang
Ming-Yuan Liu
75
48
0
27 Apr 2020
High-speed Autonomous Drifting with Deep Reinforcement Learning
High-speed Autonomous Drifting with Deep Reinforcement Learning
Peide Cai
Xiaodong Mei
L. Tai
Yuxiang Sun
Ming-Yuan Liu
45
111
0
06 Jan 2020
Differentiable Algorithm Networks for Composable Robot Learning
Differentiable Algorithm Networks for Composable Robot Learning
Peter Karkus
Xiao Ma
David Hsu
L. Kaelbling
Wee Sun Lee
Tomas Lozano-Perez
47
71
0
28 May 2019
Deep Local Trajectory Replanning and Control for Robot Navigation
Deep Local Trajectory Replanning and Control for Robot Navigation
Ashwini Pokle
Roberto Martín-Martín
P. Goebel
Vincent Chow
H. Ewald
...
Zhenkai Wang
Amir Sadeghian
Dorsa Sadigh
Silvio Savarese
Nathan Tsoi
64
62
0
13 May 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving
Exploring the Limitations of Behavior Cloning for Autonomous Driving
Felipe Codevilla
Eder Santana
Antonio M. López
Adrien Gaidon
46
543
0
18 Apr 2019
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Xin Huang
Stephen G. McGill
B. Williams
L. Fletcher
Guy Rosman
44
73
0
16 Jan 2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing
  the Worst
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Mayank Bansal
A. Krizhevsky
A. Ogale
OOD
84
739
0
07 Dec 2018
Variational End-to-End Navigation and Localization
Variational End-to-End Navigation and Localization
Alexander Amini
Guy Rosman
S. Karaman
Daniela Rus
48
111
0
25 Nov 2018
On Offline Evaluation of Vision-based Driving Models
On Offline Evaluation of Vision-based Driving Models
Felipe Codevilla
Antonio M. López
V. Koltun
Alexey Dosovitskiy
OffRL
61
103
0
13 Sep 2018
Driving Policy Transfer via Modularity and Abstraction
Driving Policy Transfer via Modularity and Abstraction
Matthias Muller
Alexey Dosovitskiy
Guohao Li
V. Koltun
68
224
0
25 Apr 2018
End-to-End Learning of Driving Models with Surround-View Cameras and
  Route Planners
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
Simon Hecker
Dengxin Dai
Luc Van Gool
76
164
0
27 Mar 2018
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
133
5,163
0
10 Nov 2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed
  Autonomous Navigation
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
Wei Gao
David Hsu
Wee Sun Lee
Shengmei Shen
K. Subramanian
57
116
0
16 Oct 2017
End-to-end Driving via Conditional Imitation Learning
End-to-end Driving via Conditional Imitation Learning
Felipe Codevilla
Matthias Muller
Antonio M. López
V. Koltun
Alexey Dosovitskiy
123
1,066
0
06 Oct 2017
End-to-end Learning of Driving Models from Large-scale Video Datasets
End-to-end Learning of Driving Models from Large-scale Video Datasets
Huazhe Xu
Yang Gao
Feng Yu
Trevor Darrell
136
825
0
04 Dec 2016
From Perception to Decision: A Data-driven Approach to End-to-end Motion
  Planning for Autonomous Ground Robots
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots
Mark Pfeiffer
Michaela Schaeuble
Juan I. Nieto
Roland Siegwart
Cesar Cadena
75
382
0
26 Sep 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
97
4,167
0
25 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
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