Center for Project-Based Learning D-ITET Receives the Demo Award at IEEE IWAS

The demo titled "Sensor Fusion and Low Latency Embedded Control for f1tenth autonomous racing" caught the attention of the judges at IEEE IWASI, leading to a well-deserved demo award. The project, spearheaded by Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, and Michele Magno, showcases cutting-edge advancements in sensor fusion and low latency embedded control.

The demo is a testament to the department's expertise and innovative approach in developing autonomous racing systems. By integrating various sensor inputs and employing real-time control mechanisms, their solution enhances the performance and safety of autonomous racing vehicles. The implications of their research extend beyond the racetrack, with potential applications in autonomous driving and robotics.

Building on this success, the department's autonomous racing team ForzaETH participated in the highly competitive ICRA 2023 F1tenth race, further solidifying their position as leaders in the field. The team's exceptional performance demonstrated their technical prowess, strategic decision-making, and ability to navigate challenging environments with precision and speed.

"We are thrilled and honoured to receive the demo award at IEEE IWASI" expressed one of the project's authors. "These accomplishments reflect the dedication and expertise of our team in pushing the boundaries of autonomous racing technology."

The department's commitment to advancing autonomous systems and their ongoing research efforts in this domain continue to drive their success. With a focus on innovation and collaboration, they are poised to make significant contributions to the field, shaping the future of autonomous racing and beyond.