A waypoint tracking controller for autonomous road vehicles using ROS framework
UNIVERSAL IDENTIFIER: http://hdl.handle.net/11093/2368
EDITED VERSION: https://www.mdpi.com/1424-8220/20/14/4062
UNESCO SUBJECT: 3304.12 Dispositivos de Control ; 1203.04 Inteligencia Artificial ; 3317 Tecnología de Vehículos de Motor
DOCUMENT TYPE: article
Automated Driving Systems (ADSs) require robust and scalable control systems in order to achieve a safe, efficient and comfortable driving experience. Most global planners for autonomous vehicles provide as output a sequence of waypoints to be followed. This paper proposes a modular and scalable waypoint tracking controller for Robot Operating System (ROS)-based autonomous guided vehicles. The proposed controller performs a smooth interpolation of the waypoints and uses optimal control techniques to ensure robust trajectory tracking even at high speeds in urban environments (up to 50 km/h). The delays in the localization system and actuators are compensated in the control loop to stabilize the system. Forward velocity is adapted to path characteristics using a velocity profiler. The controller has been implemented as an ROS package providing scalability and exportability to the system in order to be used with a wide variety of simulators and real vehicles. We show the results of this controller using the novel and hyper realistic CARLA Simulator and carrying out a comparison with other standard and state-of-art trajectory tracking controllers.
Files in this item
- Gutiérrez_Rodrigo_2020_Awa_tra ...