Title
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions
Abstract
Advances in information and signal processing technologies have a significant impact on autonomous driving (AD), improving driving safety while minimizing the efforts of human drivers with the help of advanced artificial intelligence (AI) techniques. Recently, deep learning (DL) approaches have solved several real-world problems of complex nature. However, their strengths in terms of control proce...
Year
DOI
Venue
2021
10.1109/TITS.2020.3032227
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Roads,Task analysis,Safety,Automobiles,Accidents,Vehicles,Lane detection
Journal
22
Issue
ISSN
Citations 
7
1524-9050
6
PageRank 
References 
Authors
0.46
0
5
Name
Order
Citations
PageRank
Khan Muhammad198667.67
Amin Ullah210911.60
Jaime Lloret31516177.56
Javier Del Ser471287.90
Victor Hugo C. de Albuquerque591483.30