Research on Unmanned Driving Decision-Making Technology Based on IRF-SAC Model
Author:
Affiliation:
1. Chongqing College of Architecture and Technology,School of Intelligent Manufacturing Engineering,Chongqing,China
2. Chongqing Vocational Institute of Engineering,School of Intelligent Manufacturing and Transportation,Chongqing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10528382/10528383/10528554.pdf?arnumber=10528554
Reference15 articles.
1. A Study of Unmanned Path Planning Based on a Double-Twin RBM-BP Deep Neural Network
2. Driver-behavior-based robust steering control of unmanned driving robotic vehicle with modeling uncertainties and external disturbance
3. Path planning and robust fuzzy output-feedback control for unmanned ground vehicles with obstacle avoidance
4. Event-Triggered Model Predictive Adaptive Dynamic Programming for Road Intersection Path Planning of Unmanned Ground Vehicle
5. Integrated Path Planning for Unmanned Differential Steering Vehicles in Off-Road Environment With 3D Terrains and Obstacles
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