Abstract:
A heuristic approach for the detection of the road environment-type (RET) that appears around, and sweeps past an ego-car, while the car is being driven in an urban area,...Show MoreMetadata
Abstract:
A heuristic approach for the detection of the road environment-type (RET) that appears around, and sweeps past an ego-car, while the car is being driven in an urban area, is presented in the paper. The proposed RET detection relies on the traffic signs (TSs) encountered and detected along the route. In an expedient implementation, the TS data is gathered and stored by an on-board TS recognition system. The stored TS data is continually updated, aggregated, and evaluated in a multi-scale manner, i.e., over short, medium and longer patches of the road. Heuristic rules are set up to handle various competition situations between RETs put forward by the evaluation programs responsible for the different scales. These programs make use of the current aggregated TS data, as well as the aggregated TS and RET data gathered earlier during data collection drives. The competition situations between RETs are similar to those that arise in group tournaments between sport teams, or athletes. For this reason, labels, comparison and score-calculation techniques - used by sport competition juries - have been borrowed for the purpose. The RET detection results computed in this manner are compared to those acquired via another TS-based detection approach.
Date of Conference: 18-20 September 2019
Date Added to IEEE Xplore: 14 October 2019
ISBN Information: