Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver

By J. Naranjo, Carlos González, Ricardo García, T. D. Pedro. IEEE transactions on intelligent transportation systems (Print), 2008

422 citations recorded by the source corpus.

The automation of the overtaking maneuver is considered to be one of the toughest challenges in the development of autonomous vehicles. This operation involves two vehicles (the overtaking and the overtaken) cooperatively driving, as well as the surveillance of any other vehicles that are involved in the maneuver. This operation consists of two lane changes-one from the right to the left lane of the road, and the other is to return to the right lane after passing. Lane-change maneuvers have been used to move into or out of a circulation lane or platoon; however, overtaking operations have not received much coverage in the literature. In this paper, we present an overtaking system for autonomous vehicles equipped with path-tracking and lane-change capabilities. The system uses fuzzy controllers that mimic human behavior and reactions during overtaking maneuvers. The system is based on the information that is supplied by a high-precision Global Positioning System and a wireless network environment. It is able to drive an automated vehicle and overtake a second vehicle that is driving in the same lane of the road.

Subfields: Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/9c65c1be531c7b87fbf80c4d37c47f47bb1fb6ed

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In Artificial Intelligence

In Automotive Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

A Review of Motion Planning for Highway Autonomous Driving (2020, methodology): “References [139], [164] define the sequence of operations to perform an overtaking maneuver; each action is then validated under a set of numerical criteria to prompt”
A Multiple-Goal Reinforcement Learning Method for Complex Vehicle Overtaking Maneuvers (2011, background): “[12]–[14] proposed a fuzzy control system that essentially changes the”
Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs (2020, background): “[30] proposed a fuzzy controller that mimics human behavior and reactions for an efficient and stable overtaking maneuver.”