RS-Lane: A Robust Lane Detection Method Based on ResNeSt and Self-Attention Distillation for Challenging Traffic Situations
Lane detection plays an essential part in advanced driver-assistance systems and autonomous driving systems. However, lane detection is affected by many factors such as some challenging traffic situations. Multilane detection is also very important. To solve these problems, we proposed a lane detect...
Saved in:
Main Authors: | Ronghui Zhang, Yueying Wu, Wanting Gou, Junzhou Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2021/7544355 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
In-Lane Localization and Ego-Lane Identification Method Based on Highway Lane Endpoints
by: Kyoungtaek Choi, et al.
Published: (2020-01-01) -
Memory lane /
by: Gough, Laurence
Published: (1996) -
Implications of a Narrow Automated Vehicle-Exclusive Lane on Interstate 15 Express Lanes
by: Sahar Ghanipoor Machiani, et al.
Published: (2021-01-01) -
A Two-Lane Cellular Automaton Model to Evaluate the Bus Lane with Intermittent Priority
by: Dingxin Wu, et al.
Published: (2022-01-01) -
Efficient Lane Detection Technique Based on Lightweight Attention Deep Neural Network
by: Zhiting Yao, et al.
Published: (2022-01-01)