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Traffic Lights Control Using Reinforcement Learning: A Comparative Study
Maritime Vessel Detection and Classification in Harbor Environment Using Deep Learning
Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Scanning Technologies for Autonomous Systems
Advances and Challenges in Advanced Unmanned Aerial Systems : Selected Contributions of ICAUAS 2023
Multi-agent Deep Reinforcement Learning for Countering Uncrewed Aerial Systems
Deep Learning Based Object Detection on Gas Cylinders
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism
Task Space Control of Hydraulic Construction Machines Using Reinforcement Learning
Fast Tunnel Traversal for Ground Vehicles by Bearing Estimation with Neural Networks
VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning
Local Planning Strategy Based on Deep Reinforcement Learning Over Estimation Suppression
Real-Time Carbon Emission Monitoring and Prediction Method of Expressway Based on LSTM
Imitation Learning-Based Visual Servoing for Tracking Moving Objects