Road Debris

Road debris poses a significant safety hazard, particularly for autonomous vehicles, prompting research into effective detection systems. Current efforts focus on developing robust algorithms, often employing deep learning models trained on synthetically augmented datasets to overcome the scarcity of real-world road debris images and their high variability in size and type. These advancements aim to improve the safety and reliability of both autonomous and human-driven vehicles by enabling earlier and more accurate detection of potentially dangerous objects on roadways.