Some details
Road Signs Detection - Mapping systems for autonomous vehicles:
Road mapping cars receive a vast quantity of visual data per second. It is crucial to analyze such data efficiently and to process it quickly.
The model enabled immediate visual recognition and segmentation of road-related signs and markings through neural network systems. Such processes proved to be essential e.g. for
autonomous cars’ driving systems, as they required precise road markings for correct mode of operation.
Results:
The system achieved 90% accuracy in visual signs’ recognition with set Jaccard Index parameters preserved.
Technologies:
Python, Keras, TensofFlow on GPU.
SSD Algorithms: Single Shot MultiBox Detector
