Placement Method of Multiple Lidars for Roadside Infrastructure in Urban Environments.

Sensors (Basel)

Department of Intelligent Systems and Robotics, Chungbuk National University, Cheongju 28644, Republic of Korea.

Published: October 2023

Sensors on autonomous vehicles have inherent physical constraints. To address these limitations, several studies have been conducted to enhance sensing capabilities by establishing wireless communication between infrastructure and autonomous vehicles. Various sensors are strategically positioned within the road infrastructure, providing essential sensory data to these vehicles. The primary challenge lies in sensor placement, as it necessitates identifying optimal locations that minimize blind spots while maximizing the sensor's coverage area. Therefore, to solve this problem, a method for positioning multiple sensor systems in road infrastructure is proposed. By introducing a voxel grid, the problem is formulated as an optimization challenge, and a genetic algorithm is employed to find a solution. Experimental findings using lidar sensors are presented to demonstrate the efficacy of this proposed approach.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648245PMC
http://dx.doi.org/10.3390/s23218808DOI Listing

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