Articulated Truck Blind Spot Detection Using Dynamic Angle Mapping
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Solution Overview
Problem
The existing blind spot detection systems for semi-trailer trucks face performance issues due to the turning angle between the tractor truck and the trailer, which causes interference from direct and indirect reflections, leading to inaccurate detection results.
Innovation Solution
A method and system that utilize a first sensor to obtain turning angle information and a second sensor to sense objects, with a processor dynamically defining a blind spot area based on this information and predetermined data to filter out interfering reflections, thereby improving detection precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a radar system is used for blind spot detection in semi-trailer trucks, then detection coverage is provided, but the turning angle between tractor and trailer causes interference from direct and indirect reflections leading to inaccurate detection results
Solution Approach 1:
The blind spot area is dynamically defined based on real-time turning angle information obtained from the first sensor. As the turning angle between the tractor and trailer changes during vehicle operation, the processor continuously updates the blind spot area boundaries to match the actual geometric configuration, ensuring accurate detection despite dynamic changes in vehicle orientation
Solution Approach 2:
The processor acts as an intermediary that receives turning angle information from the first sensor and sensing signals from the second sensor, then processes this information to determine whether objects are located in the blind spot area. This intermediary processing step filters out interfering reflections by comparing object positions against the dynamically calculated blind spot boundaries
2Reliability
If the blind spot area is fixed, then the system is simple to implement, but it cannot adapt to changing turning angles and provides inaccurate detection
Solution Approach 1:
The system transitions from a static blind spot definition to a dynamic one where the blind spot area automatically adjusts based on turning angle measurements. The first sensor continuously monitors the turning angle between the tractor and trailer, and the processor uses this information to recalculate the blind spot boundaries in real-time, improving reliability without requiring manual reconfiguration
Solution Approach 2:
The system performs self-adjustment by automatically calculating the blind spot area based on its own sensor measurements of the turning angle. The processor uses the turning angle information obtained from the first sensor to independently determine the appropriate blind spot boundaries, eliminating the need for external calibration or manual intervention
Data Source
AI summary
A method of blind spot detection is provided. The method of blind spot detection is used for a vehicle including a first vehicle body and a second vehicle body dragged by the first vehicle body. The method of blind spot detection comprises the following steps: obtaining a turning angle information of the second vehicle body relative to the first vehicle body by a first sensor while the vehicle is moving; determining a predetermined information related to the vehicle and/or a second sensor; dynamically defining a blind spot area around the vehicle according to the turning angle information and the predetermined information; and receiving a sensing signal regarding an object around the vehicle from the second sensor to determine whether the object is located in the blind spot area.