Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Evaluation and Testing Platform for Automotive LiDAR Sensors

Version 1 : Received: 28 November 2021 / Approved: 30 November 2021 / Online: 30 November 2021 (11:44:38 CET)

How to cite: Gomes, T.; Roriz, R.; Cunha, L.; Ganal, A.; Soares, N.; Araújo, T.; Monteiro, J. Evaluation and Testing Platform for Automotive LiDAR Sensors. Preprints 2021, 2021110562 (doi: 10.20944/preprints202111.0562.v1). Gomes, T.; Roriz, R.; Cunha, L.; Ganal, A.; Soares, N.; Araújo, T.; Monteiro, J. Evaluation and Testing Platform for Automotive LiDAR Sensors. Preprints 2021, 2021110562 (doi: 10.20944/preprints202111.0562.v1).

Abstract

The world is facing a great technological transformation towards full autonomous vehicles, where optimists predict that by 2030, autonomous vehicles will be sufficiently reliable, affordable and common to displace most human driving. To cope with these trends, reliable perception systems must enable vehicles to hear and see all the surroundings, being light detection and ranging (LiDAR) sensors a key instrument for recreating a 3D visualization of the world in real time. However, perception systems must rely in accurate measurements of the environment. Thus, sensors must be calibrated and benchmarked before being placed on the market or assembled in a car. This article presents an Evaluation and Testing Platform for Automotive LiDAR sensors with the main goal of testing not only commercially available sensors, but also sensor prototypes currently under development in Bosch Automotive Electronics division. The testing system can benchmark any LiDAR sensor under different conditions, recreating the expected driving environment to which such devices are normally subjected. To characterize and validate the sensor under test, the platform evaluates several parameters such as the field of view (FoV), angular resolution, sensor’s range, etc. This project results from a partnership between the University of Minho and Bosch Car Multimedia Portugal, S.A.

Keywords

autonomous driving; LiDAR; perception systems; evaluation and testing

Subject

ENGINEERING, Automotive Engineering

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