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ACC Student Self-Driving Competition 2023

San Diego, United States

Winning team – Northeastern University

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Every team demonstrated some aspects of self-driving and map generation with Purdue University and Northeastern having an impressive presentation on their approach to this challenge. The judging panel was comprised of Craig Buhr from MathWorks, Jonathan How from MIT, Paul Karam our Chief Operating Officer and myself, from the Academic Applications team at Quanser. While it came to a split decision the winning team was Northeastern University with an impressive display of object detection utilizing a YOLOV4 object detector, Occupancy Grid map representation, and key object identification and data summary (Link to their work: Self-Driving Car Competition – YouTube )

An Idea Birthed at ACC

Quanser has been a part of the American Controls Conference (ACC) for years. If you’ve had a chance to go to ACC and you ask about Quanser one familiar response you’ll hear is “Oh yeah they are the pendulum guys!”. This quote refers to one of the core products in Quanser’s list of controls related devices, the Qube Servo 2. In its’ 30+ year history Quanser has had the vision to develop and introduce, to universities all over the world, a set of highly complex and feature complete solutions. With this line of thinking and introduced in 2020, the Quanser QCar has given researchers the ability to dream about taking the complexities and nuances of real world driving and bring them into an indoor university setting.  What’ been the catch so far? How does Quanser (As a group of research minded design engineers) help bring this vision into reality? This takes us into ACC 2022.

In an effort to articulate all the research capabilities available to professors in an easy to conceptualize application, our Chief Operating Officer Paul Karam architected a 3-vehicle driving demonstration. Combining aspects of self-localization, a centralized infrastructure, artificial intelligence for sign recognition and the use of sounds as audible cues, Quanser brought to ACC an idea of how interconnected systems (which resemble the real world) could be brought into a university lab.  The demonstration would also spark the interest of the ACC committee for 2023 which were interested in bringing the QCar back and potentially do a more interactive/engaging approach to self-driving applications.

The ACC Challenge

These two ideas became the cornerstone of the ACC competition. Students were put in the perspective of an autonomous driving engineer working for a big company within the self-driving space. The ask for each team was to perform the following tasks:

  • Could they develop a map which defines the world the car is driving in.
  • Could they identify key objects in the environment and place them on the world map.
  • Could they demonstrate aspects of self-driving while generating this world map.
  • Summarize the findings of the map in a readable form.
UPCOMING Competition

href="https://www.quanser.com/winners/mathworks-quanser-self-driving-car-student-competition/">2026 Self-Driving Car Student Competition, Powered by MathWorks and Quanser

Location: Saint-Malo, France
Register Today!
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UPCOMING Competition

href="https://www.quanser.com/winners/american-control-conference-self-driving-car-student-competition-2026/">2026 American Control Conference Self-Driving Car Student Competition

Location: New Orleans, Louisiana, US
Register Today!