科研成果详情

Autonomous car is driverless; it creates lots of new possibilities, but also imposes new challenges. A major challenge for autonomous cars is safety. The previous studies showed that road condition is one of the main factors of traffic accidents. This paper proposes a method to automatically collect the status of road conditions from a group of cars, and uses a statistical model to quantitatively classify the road conditions. The processed information is then shared with peer cars to prevent from potential dangers. The performance study showed that the proposed algorithm could effectively classify road conditions. The algorithm is particularly useful for uncertain road conditions in remote and developing areas.