Evaluation of a Collision Prediction System for VRUs Using V2X and Machine Learning: Intersection Collision Avoidance for Motorcycles
Author:
Affiliation:
1. University of Minho,Algoritmi Center,Braga,Portugal
Funder
FCT
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10217219/10217829/10218254.pdf?arnumber=10218254
Reference11 articles.
1. Simulator-Based Study of the Response Time and Defensive Behavior of Drivers in Unexpected Dangers at an Intersection
2. Using Machine Learning on V2X Communications Data for VRU Collision Prediction
3. How do drivers avoid collisions? A driving simulator-based study
4. Edge-Based Collision Avoidance for Vehicles and Vulnerable Users: An Architecture Based on MEC
5. A cooperative federated learning mechanism for collision avoidance using cellular and 802.11 p based radios opportunistically;magdum;2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS),0
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