Gyeongsang National University 'ACE' Team Wins 2nd Place in F1-TENTH Autonomous Vehicle Competition Virtual Racing Category

Department of Intelligent Communication Engineering, College of Marine Science, CS-LAB affiliated

The ACE team from Gyeongsang National University won 2nd place in the virtual competition category of the F1-TENTH autonomous driving contest.

[Asia Economy Yeongnam Reporting Headquarters Reporter Choi Soon-kyung] The autonomous driving car team ‘ACE’ (Kim Ji-won, Jo Hyung-rae, Choi Jun-ho, Kim Gyu-min, Kim Jung-hoon, Jo Min-ah) from the Department of Intelligent Communication Engineering, College of Marine Science, Gyeongsang National University, CS-LAB (Cyber Safety LAB, supervised by Professor Kim Jin-hyun) won 2nd place in the virtual competition category of the 10th F1-TENTH Autonomous Driving Competition held at the IEEE International Conference on Robotics and Automation (ICRA) in Philadelphia, USA, from April 25 to May 25.

1st place was awarded to the ‘PL400’ team from Lehigh University, and 3rd place went to the ‘DS play’ team from Korea University.

F1-TENTH is an autonomous driving platform that allows efficient development and testing of autonomous driving systems at about 1/100th the cost by using autonomous vehicles that are one-tenth the size of F1 cars.

The 10th F1-TENTH Autonomous Driving Competition was co-hosted by the University of Pennsylvania, University of California San Diego, Lehigh University, Ridars, and SICK.

Teams from over 40 prestigious universities and companies worldwide, including Stony Brook University, University of Illinois at Chicago, University of California Santa Cruz, Nanyang Technological University, and NVIDIA, competed with their driving algorithms. Domestically, three teams participated: Gyeongsang National University, Korea Advanced Institute of Science and Technology (KAIST), and Korea University.

The ‘ACE’ team developed a speed controller that adjusts speed based on front distance data in straight sections and adjusts speed based on the vehicle’s steering angle in curved sections.

Additionally, they developed a driving algorithm based on the FGM (Follow the Gap Method), which finds passable gaps between obstacles using distance information from LiDAR sensors to adjust the driving direction, leading to their excellent 2nd place finish in the competition.

CS-LAB’s ‘ACE’ team is currently continuing research on autonomous vehicles and plans to participate in the face-to-face competition category with actual cars at the 11th F1-TENTH Autonomous Driving Competition.

This content was produced with the assistance of AI translation services.