자율주행 로봇레이싱 알고리즘 설계
A Case Study on Design of Self-driving Robo-racing Car Algorithm
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In this paper, we design a basic algorithm enabling recognition of surrounding environment and collision avoidance among elemental technologies for autonomous driving, also applies sensor theoretical data and actual road performance to robo-racing system based on experimental data obtained through driving tests to enable sophisticated collision avoidance. For this study, a commercial autonomous driving patform(ERP-42), LiDAR and GPS sensors were used to implement efficient comunication systems and autonomous driving algorithms between each module.
Abstract
In this paper, we design a basic algorithm enabling recognition of surrounding environment and collision avoidance among elemental technologies for autonomous driving, also applies sensor theoretical data and actual road performance to robo-racing system based on experimental data obtained through driving tests to enable sophisticated collision avoidance. For this study, a commercial autonomous driving patform(ERP-42), LiDAR and GPS sensors were used to implement efficient comunication systems and autonomous driving algorithms between each module.
참고문헌 (6)
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- M. C. Lee, "Development of an Algorithm for Predictable Navigation and Collision Avoidance Using Pattern Recognition of an Obstacle in Autonomous Mobile Robot", Journal of the Korean Society of Precision Engineering, 17(7) (2000)
- Y. G. Son, "Autonomous Delivery Platform Architecture Design based on ROS(Robot Opertating System)", The Koean Society of Automotive Engineers 2020 Fall Conference Meeting, pp.686~689 (2020)
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