Vehicle Radar Large Vehicle Detection Dynamics

The patent applies dynamics by making the target inclusion region adjustable rather than fixed. The control unit dynamically changes the inclusion region based on detected reflection points - expanding it when multiple reflection points are detected (indicating large vehicles) and maintaining or reducing it for single reflection points (smaller vehicles). This dynamic adaptation resolves the contradiction by improving detection accuracy for large vehicles without permanently increasing system complexity.

The patent changes the parameter of the target inclusion region (its size and position) based on detected reflection characteristics. When multiple reflection points are detected within an initial inclusion region, the system determines this indicates a large vehicle and adjusts the inclusion region parameters accordingly. This parameter change approach allows the system to adapt to different vehicle types, improving measurement precision while using a systematic method to manage complexity.

The patent applies local quality by creating different target inclusion regions for different vehicle types. Instead of using one large inclusion region for all vehicles, the system detects reflection points and creates a localized inclusion region appropriate for each specific vehicle. For large vehicles, the region is expanded to cover multiple reflection points, while for smaller vehicles, it remains compact. This prevents false detection of multiple vehicles while maintaining accuracy for large vehicles.

The system dynamically adjusts the target inclusion region based on the detected number and position of reflection points. When multiple reflection points are detected, the inclusion region is expanded to accommodate them; when fewer points are detected, the region remains smaller. This dynamic adjustment prevents false detection of multiple vehicles while ensuring adequate coverage for large vehicles with multiple reflection points.

The patent applies merging by combining multiple reflection points that belong to the same large vehicle into a single unified target inclusion region. Instead of treating each reflection point as a separate vehicle target, the system creates one inclusion region that encompasses all reflection points from the same vehicle, thereby identifying the large vehicle as a single entity and maintaining position determination accuracy.

The system changes the parameters of the target inclusion region to accommodate multiple reflection points from the same large vehicle. By adjusting the region's size and position based on the distribution of reflection points, the system can include all points within a single region, enabling proper identification of large vehicles while maintaining accurate position determination through the region's central or representative position.