Method for Estimating Road Impulse Ahead of Vehicles in Urban Environment with Microelectromechanical System Three-Dimensional Sensor

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 4; p. 1192
• Main Authors: Zhao, Shijie, Wang, Minghao, Wang, Pengyu, Wang, Yang, Guo, Konghui
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 11.02.2024; MDPI
• Subjects: Accuracy; Algorithms; LiDAR error model; Mapping; MEMS LiDAR; Methods; Microelectromechanical systems; Neural networks; Optical radar; pose estimation; Remote sensing; road impulse features; Roads & highways; Sensors; Vehicles; MEMS LiDAR; road impulse features; LiDAR error model; pose estimation

Most automated vehicles (AVs) are equipped with abundant sensors, which enable AVs to improve ride comfort by sensing road elevation, such as speed bumps. This paper proposes a method for estimating the road impulse features ahead of vehicles in urban environments with microelectromechanical system...