TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction

arXiv:2403.11695v1 Announce Type: new
Abstract: Autonomous driving systems are a rapidly evolving technology that enables driverless car production. Trajectory prediction is a critical component of autonomous driving systems, enabling cars to anticipate the movements of surrounding objects for safe navigation. Trajectory prediction using Lidar point-cloud data performs better than 2D images due to providing 3D information. However, processing point-cloud data is more complicated and time-consuming than 2D images. Hence, state-of-the-art 3D trajectory predictions using point-cloud data suffer from slow and …

abstract architecture arxiv autonomous autonomous driving autonomous driving systems car cars cloud cloud data cs.cv data driverless car driving enabling images lidar movements navigation neural architecture search objects point-cloud prediction production search systems technology trajectory type