A methodology for analyzing the impact of crosstalk on LIDAR measurements

Lara Brinon-Arranz (1) , Tiana Rakotovao (1) , Thierry Creuzet (1) , Cem Karaoguz , Oussama El-Hamzaoui

1 LIIM - Laboratoire Intelligence Intégrée Multi-capteurs

LIDAR sensors are essential in intelligent transportation systems since they provide high-resolution, dense and precise range measurements. The use of LIDARs is rapidly growing and an increasing number of vehicles equipped with these sensors will share the road in a near future. An unfortunate consequence is that interference between LIDAR devices may occur. Indeed, crosstalk occurs when the laser beam emitted by a LIDAR disturbs the measurement process of another LIDAR. The analysis of the effect of crosstalk is therefore becoming crucial for assessing the performance of LIDAR devices and ensuring the safety of autonomous vehicles. This paper presents a detailed and reproducible methodology for evaluating the impact of crosstalk for LIDARs based on different technologies.

Mots clés: LIDAR; laser scanning; mutual interference; crosstalk; methodology

Domaines: Robotique [cs.RO]

Lara Brinon-Arranz, Tiana Rakotovao, Thierry Creuzet, Cem Karaoguz, Oussama El-Hamzaoui. A methodology for analyzing the impact of crosstalk on LIDAR measurements. 2021 IEEE Sensors, Oct 2021, Sydney, Australia. pp.1, ⟨10.1109/SENSORS47087.2021.9639531⟩. ⟨cea-03605796⟩