Next Generation LiDAR Sensor Testing

Abstract

The development of autonomous vehicles is heavily dependent on object detection technology. Li- DAR, a remote sensing technology that uses laser beams to measure distances and generate precise 3D representations of objects and their surroundings, plays a critical role in this domain. Object detection is essential for advancing autonomous vehicle technology. This study focuses on utilizing LiDAR data from Next Generation datasets and comparing it with the nuScenes dataset. The main objective is to predict object classes and validate the accuracy of the proposed solution using these two distinct datasets. The test approach employed in this study aims to evaluate the effectiveness of the solution and determine the optimal outcomes through rigorous result evaluation.