Research on unmanned vehicle obstacle avoidance technology based on LIDAR and depth camera fusion

Research on unmanned vehicle obstacle avoidance technology based on LIDAR and depth camera fusion

To address the problems of poor accuracy of traditional EKF algorithm in estimating the position of unmanned vehicles and the deficiencies in accuracy and map completeness of the traditional map building method with single-line LiDAR, this paper proposes a method to create fused raster maps realized...

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Bibliographic Details
Main Authors: Qiu Hao, Chen Weifeng, Ji Aihong, Hu Kai
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
lidar
depth camera
raster map method
unmanned vehicle
obstacle avoidance technique
positional attitude
bayesian estimation
78-02
Online Access:https://doi.org/10.2478/amns.2023.2.00575

Internet

https://doi.org/10.2478/amns.2023.2.00575

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