The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
Chapter 1. A personalized ramp merging decision-making method for autonomous driving based on reverse reinforcement learning.- Chapter 2. An adaptive cruise hybrid control method for unmanned driving.- Chapter 3. Dynamic Quantitative Analysis for Large Scale Skid-steered UGV.- Chapter 4. An Optimization-based Path Planning Method for Unmanned Systems in Multi-obstacle Environments.- Chapter 5. An adaptability-based terrain costmap for heterogeneous vehicle swarm path planning.- Chapter 6. Attention encoder-decoder network based autonomous risk driving identification for connected heavy-duty vehicles.- Chapter 7. Loosely-coupled Camera-IMU-OGS fusion Localization.- Chapter 8. Multi-sensing pedestrian detection method based on an improved EPNet.- Chapter 9. Abrupt Lane Change Recognition Model Towards Autonomous Vehicle based on Lane Line Inclination.- Chapter 10. Path-oriented Green Wave Speed Control Model Towards Autonomous Vehicle, etc.
The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.