Autonomous car blind spot: Our lab team worked to solve an autonomous car blind spot issue. A self-driving car depends on its sensors to perceive the surrounding environment. Those sensors have their own advantages and drawbacks. For example, if there is a wall beside the road and a pedestrian suddenly comes from behind the wall with an intention to cross the road, the car can not see him. Thus, to avoid potential accident, we developed a system that can detect that hidden pedestrian and notify the car wirelessly.  

We exploited an infrastructure camera footage and feed it to a trajectory prediction model. The model generates the probability of the pedestrian crossing the road. Then, that message is stored to a server where the car can access it. By calculating the pedestrian distance and car velocity, it makes the decision whether braking is necessary or not.