This project is no longer open for submissions.
We are seeking reliable and cost-effective methods for object detection and classification applicable to the field of autonomous driving.
Background:
Achieving reliable detection and classification with a minimum latency and computational resource need is a high challenge. A novel method of detection would provide multiple benefits.
Constraints:
- Object type: car, truck, emergency vehicle and motor cycle
- First detection range (first time vehicle appears in sensor range): day: <= 160m, night: <= 140m
- range rate (max. approaching vehicle speed): day: 33m/s, night: 20m/s
- True positive: 0-60m > 99%, true negative: 60-160m > 97%
- False negative: 0-60m <1%, false positive: 0-160m < 1%
- Range error: 0m – 45m < 6%, 45m – 90m < 8% , > 90m: < 9%
- Low or no incremental cost when compared with existing solutions.
Desired outcome of the solution:
An innovative method of detecting and classifying/identifying objects with minimal latency and low computational resource.
Field of use and intended applications:
Automotive
