LIM DONGMYEONG

Professional Summary

With specialized experience in vehicle control systems, I have implemented longitudinal vehicle control using PI controllers and contributed to both longitudinal and lateral control by incorporating Yaw Rate feedback. My approach prioritizes both safety and efficiency, and I have a proven track record of solving complex problems and driving projects to successful completion.

In particular, I played a key role in a Level 4 fully unmanned autonomous driving system development project. Our team at Autonomous A2G’s Autonomous Driving Development Division 1 collaborated to address the labor shortage issue faced by Bayanat AI in the UAE, which required unmanned autonomous shuttle buses. To address this, we developed a hybrid system combining autonomous driving and remote control.

From our Anyang R&D Center, I was responsible for controlling a vehicle located in Hwaseong, and I personally tested the remote driving system during an exhibition. Through this experience, I identified critical issues such as limited speeds above 10 km/h, lack of vehicle dynamics feedback, and limited camera field of view. These observations led me to believe that a perfect unmanned system was achievable with the right improvements.

By analyzing academic papers, I understood the structure of UDP communication between the remote cockpit and the vehicle PC, as well as CAN communication between the PC and the vehicle controller. Using tools like Packet Sender and Canking, I verified successful communication. Furthermore, I implemented a 5G modem to reduce latency and built a remote cockpit that incorporated a motion simulator capable of Roll and Pitch control, along with a racing wheel controller delivering up to 25 Nm of torque.

I also developed a PI control-based feedback system integrating vehicle speed, steering angle, accelerator input, and target speed to realize Roll, Pitch, and aligning torque. To enhance path prediction, I utilized a bicycle model and OpenCV to create predictive driving guidelines. As a result, we enabled stable remote driving at 30–40 km/h in low-speed zones and up to 60 km/h on high-speed tracks in K-City. This system proved capable of fully handling scenarios where autonomous driving is not possible.

Based on this success, we established a joint venture with Bayanat AI and secured a contract for 100 vehicles. I am confident that this experience will allow me to make significant contributions to vehicle control development.

Certificate: Industrial Engineer Machine Design Date Issued: June 1, 2021 Issuing Authority: Human Resources Development Service of Korea (HRD Korea)

• Date of Birth: February 26, 1998
  Gender: Male