HapticCV: Depth-Assisted Bicycle Navigation
Real-time obstacle detection on OAK-D for cyclists using stereo depth estimation, object tracking using MobileNet SSD and haptic feedback using neosensory buzz.
| Resource | Link |
|---|---|
| Project Repository | Hackster.io |
HapticCV: depth-assisted bicycle navigation system using computer vision and haptic feedback.
Project Overview
Cars have been equipped with all sorts of sensors to make them safer and smarter. Unfortunately, cyclists haven’t had the same benefits. Haptic CV gives cyclists a feel for what is going on behind them through the use of computer vision. Information about the depth of vehicles behind the users is sent via Buzz to the skin, giving them accurate information about the dangers that may be speeding upon them.
I developed a real-time obstacle detection on OAK-D for cyclists using stereo depth estimation, object tracking using MobileNet SSD and haptic feedback using neosensory buzz.