Multi-Modal Traffic Sign Detection with Semantic Attributes for Autonomous Driving
A dual motion-model tracker that explicitly accounts for non-linear perspective transformations during vehicle approach is introduced, substantially improving temporal consistency over linear motion assumptions, and a semantic attribute classification pipeline that estimates occlusion level, readability, sign embeddedness, and road relevance is developed, providing actionable context to downstream planning.