During this semester of his master’s course Engineering Systems, track Automotive Systems at HAN University of Applied Science, Shubham Singh undertook a challenging project focused on designing a Proof of Concept for the development of an Adaptive Cruise Control system. This involved the application of sensor fusion techniques and the implementation of a well-functioning controller specifically tailored for HAN’s MORE Vehicle.

What is Adaptive Cruise Control?

Adaptive Cruise Control is an advanced driver assistance system that automatically adjusts a vehicle’s speed to maintain a safe distance from the vehicle ahead. Developing this system presented several key challenges, including the creation of hierarchical low- and high-level control structures. Shubham: “Additionally, we had to effectively integrate data from all three sensors using sensor fusion to improve object detection accuracy and ensure appropriate decision-making. Ultimately, our objective was to input the fused data into the controller algorithm to enable smooth operation of the MORE Vehicle.”

What was the outcome?

“The journey of working on this project was truly remarkable and concluded with a triumphant outcome. It involved countless hours of research, iterative improvements, and meticulous fine-tuning of the system. Along the way, we encountered numerous obstacles related to both hardware and software, requiring diligent troubleshooting. However, all the hard work paid off as we successfully achieved our goal.”

“During the final phase of the project, we encountered a technical issue with the radar’s CAN configuration, which prevented it from functioning properly. Due to time constraints, we were unable to resolve this issue. Consequently, we proceeded with the implementation of the control system using sensor input from the camera and Lidar, allowing us to achieve a fully operational system. Finally, after integrating the system with the HAN MORE vehicle, we obtained longitudinal control over the vehicle.”

Shubham wants to extend his heartfelt appreciation to the MORE vehicle team, along with the supervisors Bas Hetjes and Siddharth Ajaykumar, for their invaluable support and guidance during the entire project. “I am also immensely grateful to my team members, Joeri Bosman, Tomo Emmanuel, Sahil Zade, and Tim Voorend for their dedicated contributions.”

“The knowledge gained from this project has strengthened my foundation and will undoubtedly propel me further into the field of autonomous vehicles. In addition, I have completed my courses, and I am currently seeking a graduation project. Therefore, please feel free to reach out to me if there are any related openings or opportunities available”, Shubham says.

Source: LinkedIn