Detecting driving hazards using point cloud data from LiDAR and AI for industrial navigation robot

Jaesung Yang; Andrew Esteves; Harry Bickford; Xin Shen; Kiwon Sohn

doi:10.1117/12.3013874

14 June 2024 Detecting driving hazards using point cloud data from LiDAR and AI for industrial navigation robot

Jaesung Yang, Andrew Esteves, Harry Bickford, Xin Shen, Kiwon Sohn

Proceedings Volume 13041, Three-Dimensional Imaging, Visualization, and Display 2024; 130410L (2024) https://doi.org/10.1117/12.3013874
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Conference Poster

Abstract

In this undergraduate research project, we use LiDAR mapping for object detection and further combine AI and computer vision algorithms to enable robots to safely drive the vehicle in a given environment. AI and computer vision technologies allow the robot to identify lanes and intersections, enabling vehicle navigation, while LiDAR mapping quickly and accurately determines the depth between the vehicle and objects entering a specific area. This capability allows the robot to temporarily stop the vehicle, preventing collisions with objects. Through these technologies, our goal is to prevent collisions that may occur during driving, ensuring pedestrian safety and enabling safe robot-driven vehicle operation in crowded places. Simulation and test have been conducted to verify the proposed methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jaesung Yang, Andrew Esteves, Harry Bickford, Xin Shen, and Kiwon Sohn "Detecting driving hazards using point cloud data from LiDAR and AI for industrial navigation robot", Proc. SPIE 13041, Three-Dimensional Imaging, Visualization, and Display 2024, 130410L (14 June 2024); https://doi.org/10.1117/12.3013874

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available