2019
AAAI
AAAI 2019
A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles
Abstract
Abstract This work explores the design of a central collaborative driving strategy between connected cars with the objective of improving road safety in case of highway on-ramp merging scenario. Based on a suitable method for predicting vehicle motion and behavior for a central collaborative strategy, a dynamic Bayesian network method that predicts the intention of drivers in highway on-ramp is proposed. The method was validated using real data of detailed vehicle trajectories on a segment of interstate 80 in Emeryville, California.
🚀
Conference Pioneer
— AAAI 2019
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning
🧭
Keyword Pioneer
— driver intention
🐣
Hot Topic Early Bird
— autonomous vehicle
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > Autonomous Vehicles
Artificial Intelligence > Core AI > Trajectory Prediction
Machine Learning > Optimization & Theory > Bayesian Inference
Artificial Intelligence > Bayesian & Probabilistic > Bayesian Inference
Machine Learning > Bayesian & Probabilistic > Bayesian Networks