Multi-Vehicle Collaborative Planning Technology under Automatic Driving
S Rong, R Meng, J Guo, P Cui, Z Qiao - Sustainability, 2024 - mdpi.com
Autonomous vehicles hold the potential to significantly improve traffic efficiency and
advance the development of intelligent transportation systems. With the progression of …
advance the development of intelligent transportation systems. With the progression of …
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
R Wen, J Huang, R Li, G Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous Vehicles (AVs) have attracted significant attention in recent years and
Reinforcement Learning (RL) has shown remarkable performance in improving the …
Reinforcement Learning (RL) has shown remarkable performance in improving the …
Single and Mixed Sensory Anomaly Detection in Connected and Automated Vehicle Sensor Networks
Connected and automated vehicles (CAVs), integrated with sensors, cameras, and
communication networks, are transforming the transportation industry and providing new …
communication networks, are transforming the transportation industry and providing new …
A TinyML-enabled approach to embed Machine Learning in Avionics Control Systems
Z Iqbal - 2024 - research.unipd.it
Abstract The incorporation of Machine Learning (ML) into aviation infrastructure signifies a
pivotal advancement, unlocking exceptional possibilities for enhancing operational efficacy …
pivotal advancement, unlocking exceptional possibilities for enhancing operational efficacy …