ADLINK Technologies today announced its sponsorship and technical support for Formula Student Team Delft, one of the world’s leading student engineering teams. The collaboration supports the development of the team’s next autonomous electric race car, DUT26, with ADLINK’s new SBC35‑ARL single board computer selected as the vehicle’s Autonomous Processing Unit (APU).
This year’s showcase integrates cutting-edge technologies from ADLINK’s global AI platform collaborators, including Intel, NVIDIA, MediaTek, NXP, AMD and Qualcomm Technology, Inc., highlighting ADLINK’s expertise in cross-architecture and cross-domain system integration. Furthermore, ADLINK will feature deep collaborations with AUO Display Plus for advanced display technologies and Noble Machines for the development and field deployment of humanoid robotics, presenting a comprehensive edge AI ecosystem spanning computing platforms, smart displays, and robotic applications.
Industrial‑grade computing for real‑time autonomy
The APU is responsible for running the full autonomous pipeline — from sensor ingestion to real‑time vehicle control. In DUT26, the SBC35‑ARL will enable low‑latency processing at the edge, supporting reliable autonomous operation in a demanding motorsport environment.
- Receives data from sensors including lidar, cameras, IMU and GPS, and from vehicle networks
- Runs advanced autonomy frameworks such as YOLO v11 for perception, graphSLAM for state estimation, and MPC for control
- Outputs steering and torque setpoints that are transmitted via CAN to embedded control units for actuation
- Designed to operate in real time with minimal latency — a critical requirement for autonomous racing