Design and Implementation of an Autonomous Driving Pedestrian Behavior Analysis and Prediction System

As the autonomous driving technology develops faster and faster, pedestrians’ behavior analysis and prediction system plays a vital role in guaranteeing autonomous driving systems are safe and reliable. Based on the Flask framework, this paper formulates an autonomous driving pedestrian behavior analysis and prediction system. First, it presents overall system architecture.The working mechanism of the interfaces between the primary page, pedestrian behavior analysis page, pedestrian behavior prediction page and prediction model improve page is realized by the end registration and view function definition in flask. The problem encountered in the system development process is studied in detail and the solutions are offered in order to make the primary function module work normally.In addition, the roles of HTML template files in front-end presentation and implementation of page navigation with rational routing design are also mentioned.Research result shows this system helps effectively facilitate the behavior analysis and prediction of pedestrian in autonomous driving scenario, which gives a good reference for later technologies development about autonomous driving.