I carried out this research to prepare for the ‘제2회 국제 대학생 EV자율주행 경진대회’ and ‘2023 대학생 창작모빌리티 무인모빌리티 부문’, ‘2023 자율주행 S/W 고도화 대회’
There are many parking algorithms that have already been studied. Among them, I would like to introduce the process of finding an algorithm that fits my given mission and developing it.
The first is the parking space detection algorithm. In many papers, the ultrasonic sensor recognizes parking locations and distances and uses the AVM function to determine which parking to proceed.
We didn't proceed with the AVM, and the ultrasonic sensor wasn't available. Therefore, only LiDAR was used to recognize obstacles around parking spaces and to determine parking spaces.
Parking area and type were determined by comparing the slopes of the Labacons.
RANSAC and clustering were helped by colleagues who studied LiDAR, and other algorithms were conceived and implemented by myself.
The above picture is the page I used for easy explanation when conducting the seminar for the presentation of the research results.