- Camera falsely detects obstacles when dirty or smudged.
- Increased false detections in poor lighting conditions.
- Pathways sometimes mis-detect obstacles as parked vehicles.
- Dirty or obstructed camera lenses.
- Reduced camera accuracy in low-light environments.
- Current depth estimation model not fully optimized for all scenarios.
- Clean the camera lens thoroughly and check again.
- Use “No-Vision Zone” to cover areas you know are clear of obstacles or where obstacle avoidance is unnecessary.
- If false detections persist, adjust the Obstacle Avoidance Mode to “Gentle Contact” to reduce unnecessary stops.
- Continuous optimization of the depth estimation model and additional training on a larger dataset.
- Firmware update planned for August to improve detection accuracy.