TY - CONF T1 - A LiDAR Error Model for Cooperative Driving Simulations T2 - IEEE Vehicular Network Conference Y1 - 2018 A1 - Michele Segata A1 - Renato Lo Cigno A1 - Rahul Bhadani A1 - Matthew Bunting A1 - Jonathan Sprinkle KW - autonomous vehicles KW - AV KW - CAV KW - LiDAR KW - self-driving cars KW - sensor KW - VNC AB -

Cooperative driving and vehicular network simulations have done huge steps toward high realism. They have become essential tools for performance evaluation of any kind of vehicular networking application. Yet, cooperative vehicular applications will not be built on top of wireless networking alone, but rather fusing together different data sources including sensors like radars, LiDARs, or cameras. So far, these sensors have been assumed to be ideal, i.e., without any measurement error. This paper analyzes a set of estimated distance traces obtained with a LiDAR sensor and develops a stochastic error model that can be used in cooperative driving simulations. After implementing the model within the PLEXE simulation framework, we show the impact of the model on a set of cooperative driving control algorithms.

JF - IEEE Vehicular Network Conference PB - IEEE CY - Taipei, Taiwan ER -