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Efficient Latent Representations using Multiple Tasks for Autonomous
  Driving

Efficient Latent Representations using Multiple Tasks for Autonomous Driving

2 March 2020
E. Kargar
Ville Kyrki
    SSL
ArXiv (abs)PDFHTML

Papers citing "Efficient Latent Representations using Multiple Tasks for Autonomous Driving"

20 / 20 papers shown
Title
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion
  Forecasting with a Single Convolutional Net
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
Wenjie Luo
Binh Yang
R. Urtasun
3DPC
77
626
0
22 Dec 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
547
42,591
0
03 Dec 2019
Urban Driving with Conditional Imitation Learning
Urban Driving with Conditional Imitation Learning
Jeffrey Hawke
Richard Shen
Corina Gurau
Siddharth Sharma
Daniele Reda
...
Przemyslaw Mazur
Sean Micklethwaite
Nicolas Griffiths
Amar Shah
Alex Kendall
117
147
0
30 Nov 2019
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
Tung Phan-Minh
E. Grigore
Freddy A. Boulton
Oscar Beijbom
Eric M. Wolff
95
384
0
23 Nov 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for
  Behavior Prediction
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai
Benjamin Sapp
Mayank Bansal
Dragomir Anguelov
100
669
0
12 Oct 2019
Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory
  Predictions
Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions
Henggang Cui
Thi Nguyen
Fang-Chieh Chou
Tsung-Han Lin
J. Schneider
David Bradley
Nemanja Djuric
73
25
0
01 Aug 2019
Predicting Motion of Vulnerable Road Users using High-Definition Maps
  and Efficient ConvNets
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets
Fang-Chieh Chou
Tsung-Han Lin
Henggang Cui
Vladan Radosavljevic
Thi Nguyen
Tzu-Kuo Huang
Matthew Niedoba
J. Schneider
Nemanja Djuric
35
58
0
20 Jun 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen
Bodi Yuan
Masayoshi Tomizuka
63
266
0
20 Apr 2019
Deep Imitation Learning for Autonomous Driving in Generic Urban
  Scenarios with Enhanced Safety
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety
Jianyu Chen
Bodi Yuan
Masayoshi Tomizuka
34
134
0
02 Mar 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
89
741
0
07 Dec 2018
Multimodal Trajectory Predictions for Autonomous Driving using Deep
  Convolutional Networks
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui
Vladan Radosavljevic
Fang-Chieh Chou
Tsung-Han Lin
Thi Nguyen
Tzu-Kuo Huang
J. Schneider
Nemanja Djuric
61
616
0
18 Sep 2018
End-to-end driving simulation via angle branched network
End-to-end driving simulation via angle branched network
Qing Wang
Long Chen
Wei Tian
36
9
0
19 May 2018
Driving Policy Transfer via Modularity and Abstraction
Driving Policy Transfer via Modularity and Abstraction
Matthias Muller
Alexey Dosovitskiy
Guohao Li
V. Koltun
73
224
0
25 Apr 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
143
5,206
0
10 Nov 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
136
1,068
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
152
827
0
04 Dec 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
100
4,175
0
25 Apr 2016
DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
99
1,765
0
01 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
312
25,081
0
30 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
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