Advanced Driver Assistance System (ADAS)
To design an advanced driver assistance system (ADAS) for automobiles to enhance driver safety, e.g., by tracking lane markers to keep the driver in the correct lane and alerting the driver to other cars and pedestrians. While image processing algorithms exist to track lanes, cars, and pedestrians, the challenge in this project is to implement these algorithms on an embedded board (with CPUs and GPUs) and a very limited power budget.
Issues Involved or Addressed
Image processing, real-time object recognition, embedded systems, low-power design, parallel programming, graphics, user interface design, sensors, assistive technologies
Methods and Technologies
Academic Majors of Interest
Preferred Interests and Preparation
Embedded systems, parallel programming, low-power design, sensors, CPU/GPU computing, image processing, real-time object recognition, HCI/User-interface design, GPU programming, automotive electronics, control systems, driver assistance systems