Why Studying Cut-ins? Comparing Cut-ins and Other Lane Changes Based on Naturalistic Driving Data
Author:
Affiliation:
1. Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798
2. Continental Automotive Singapore,Singapore,339780
3. Nanyang Technological University,Energy Research Institute,Singapore,639798
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588648.pdf?arnumber=10588648
Reference22 articles.
1. LC-RSS: A Lane-Change Responsibility-Sensitive Safety Framework Based on Data-Driven Lane-Change Prediction
2. Lane Change Intent Prediction Based on Multi-Channel CNN Considering Vehicle Time-Series Trajectory
3. Fine-grained highway autonomous vehicle lane-changing trajectory prediction based on a heuristic attention-aided encoder-decoder model
4. A Personalized Human-Like Lane-Changing Trajectory Planning Method for Automated Driving System
5. Safety in Vehicle Platooning: A Systematic Literature Review
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