Inferring surrounding vehicles' lane change maneuvers is an essential task for advanced driver assistance systems (ADAS) and autonomous vehicles. It involves predicting when and how nearby vehicles may change lanes to ensure safe and efficient driving in a multi-lane environment. Various sensors, such as cameras, LiDAR, and radar, are used to gather data about the surrounding vehicles and their behavior to make accurate inferences.
This comparison provides a summary of some recent work for surrounding vehicle's lane change maneuver inference
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