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Feature Analysis and Selection for Training an End-to-End Autonomous
  Vehicle Controller Using the Deep Learning Approach

Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach

28 March 2017
Shun Yang
Wenshuo Wang
Chang-rui Liu
W. Deng
J. Hedrick
ArXivPDFHTML

Papers citing "Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach"

3 / 3 papers shown
Title
Incorporating Orientations into End-to-end Driving Model for Steering
  Control
Incorporating Orientations into End-to-end Driving Model for Steering Control
Peng Wan
Zhenbo Song
Jianfeng Lu
LLMSV
13
0
0
10 Mar 2021
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
20
506
0
23 Dec 2019
Extracting Traffic Primitives Directly from Naturalistically Logged Data
  for Self-Driving Applications
Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications
Wenshuo Wang
Ding Zhao
AI4TS
12
74
0
11 Sep 2017
1