Swivelable Vehicle Sensor Alignment for Intersection Detection
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Solution Overview
Problem
Existing vehicle sensor systems, particularly those designed for large ranges, are limited by a narrow aperture angle and fail to reliably detect potentially dangerous objects moving at higher speeds, especially in complex traffic situations like junctions and intersections, as they primarily focus on monitoring the probable driving route rather than potential entry points from surrounding traffic routes.
Innovation Solution
The method involves detecting leading-in traffic routes using map data and independent sensors, aligning swivelable vehicle sensors to monitor these routes, and adjusting the attention angle based on foreknowledge of traffic rules and object movement, ensuring the sensor's receiving range covers potential collision paths, thereby enhancing the detection of dangerous objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle sensors are used to monitor the probable driving route, then the monitoring of the intended path is improved, but the detection of dangerous objects on intersecting traffic routes deteriorates
Solution Approach 1:
The system performs preliminary detection of dangerous objects on intersecting traffic routes before the vehicle reaches the intersection. By using map data to identify potential hazard locations in advance and aligning sensors to monitor these areas proactively, the system detects dangers before they become immediate threats to the probable driving route.
Solution Approach 2:
The system expands monitoring from the one-dimensional probable driving route to include two-dimensional intersecting traffic routes. By detecting leading-in traffic routes using map data and orienting sensors toward these additional dimensions, the system captures hazards that would otherwise remain undetected while maintaining coverage of the primary driving path.
2Area of stationary object
If swivelable vehicle sensors are used to increase receiving range, then the coverage area is improved, but the detection precision for moving dangerous objects deteriorates
Solution Approach 1:
Instead of uniformly distributing sensor coverage across all directions, the system applies local quality by concentrating monitoring resources on specific high-risk areas. Map data is used to identify leading-in traffic routes where dangerous objects are most likely to appear, and sensors are precisely oriented toward these locations to achieve high detection precision where it matters most.
Solution Approach 2:
The system dynamically changes sensor orientation parameters based on detected traffic situations. By adjusting the attention angle and sensor pointing direction according to map data and identified leading-in routes, the system maintains high detection precision for moving objects while expanding effective coverage of relevant areas.
3Area of stationary object
If multiple sensors are used to cover larger receiving ranges, then the coverage is improved, but the system complexity increases
Solution Approach 1:
The system employs a single swivelable sensor that dynamically changes its orientation rather than using multiple fixed sensors. The sensor can rotate and reposition itself to monitor different leading-in traffic routes as identified by map data, achieving comprehensive coverage with fewer physical components and reduced system complexity.
Data Source
AI summary
A method of aligning a vehicle sensor is provided. The sensor is arranged on a motor vehicle and is swivelable about at least one axis in the direction of an attention angle determined as a function of the actual driving situation. The presence of a traffic route leading into the probable driving route of the motor vehicle is detected, and the attention angle is selected such that the receiving range of the vehicle sensor resulting from the alignment in the direction of the attention angle at least partially contains the traffic route leading into the probable driving route of the motor vehicle.