Robust Lateral Control of a Convoy of Autonomous & Connected Vehicles with Limited Preview
Mengke Liu, Neelkamal Somisetty, Sivakumar Rathinam, and Swaroop, Darbha

TL;DR
This paper proposes a lateral control method for autonomous vehicle convoys during emergency lane changes, utilizing limited preview information from connected vehicles to ensure stability and safety.
Contribution
It introduces a novel control scheme that constructs a composite trajectory from connected vehicle data for improved convoy lateral control during emergencies.
Findings
The control scheme effectively manages convoy lateral stability.
It performs well even with limited preview information.
Numerical and experimental validation confirms robustness.
Abstract
This paper addresses the lateral control of Autonomous & Connected Vehicles (ACVs) convoys during Emergency Lane Change (ELC) maneuvers. These maneuvers are initiated in response to emergency cues from either the front or rear of the convoy, responding to the need to avoid obstacles or facilitate the passage of other vehicles. The primary objective of this study is to develop a lateral control scheme for ACVs based on the available information. The foundational assumption in this study is the existence of reliable connectivity among ACVs, wherein each subsequent ACV possesses information concerning the GPS position traces of both the lead and immediately preceding vehicles within the convoy. This connectivity facilitates the construction of a composite ELC trajectory that synthesizes this information, serving as a "discretized" preview of the trajectory to be tracked. The procedural…
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Taxonomy
TopicsTraffic control and management · Autonomous Vehicle Technology and Safety · Robotic Path Planning Algorithms
