Progress Made
My main focus this week was working with the traffic light detection algorithm’s validation set. A lot of the work was going in and hand tagging traffic lights – and with the suggestion of detecting more than just traffic lights (from our Design Review feedback) – crossing lights, cars, and other pedestrians.
Additionally, I began working on the look direction traffic light detection algorithm, which takes in a cropped image of all the traffic lights in a scene and deduces which of the lights, if any, is the light the user is facing. My current implementation is by using the Hough circle transform (available in the opencv library) and looking for the traffic lights in which the more of the lights’ circular shapes are present given the angle at which the user is facing the light.
Progress
On a changed schedule – instead of myself and Yasaswini working on the traffic light detection algorithm first, I am working on the separate light state detection and look direction algorithms while Yasaswini, with Jeanette’s assistance, works on the light detection.
Deliverables for Next Week
- Zeroth priority: further refine (and FINALIZE) our requirements when meeting with Tom and Rashmi
- First priority: Continue working on and debugging the look direction algorithm