AI algorithms for autonomous vehicles

Self-driving cars have begun to become a reality in the fields of agriculture, transportation, and military, and the day when ordinary consumers use self-driving cars in their daily lives is quickly approaching. An autonomous vehicle performs necessary operations based on sensor information and AI algorithms. It needs to collect data, plan trajectories, and execute driving routes. These tasks, especially planning and executing trajectories, require non-traditional programming methods, which rely on machine learning techniques in AI. Traditional heuristic algorithms in computer science can be used for path planning and control, such as Bellman-Ford algorithm and Dijkstra algorithm.