Vehicle Collision Avoidance Dynamic Detection Region Adjustment
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Solution Overview
Problem
Existing collision avoidance support devices inaccurately detect moving objects with low collision probability, leading to incorrect alerts and operations, especially when vehicles are on straight roads or in parking lots, due to wide detection ranges used regardless of intersection presence.
Innovation Solution
A vehicle collision avoidance support device that dynamically adjusts its detection region based on the presence of intersections, using a wider region when potentially intersecting objects are detected and a narrower region otherwise, employing millimeter-wave radar and image recognition to differentiate between high and low collision probability scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a wide detection range is used to detect moving objects at intersections, then the detection capability for intersecting vehicles is improved, but false detections increase when vehicles are on straight roads or in parking lots
Solution Approach 1:
The patent applies dynamics by making the detection region adjustable rather than fixed. The control unit dynamically changes the detection region width based on the vehicle's travel state (intersection approach, intersection passage, or other states). When approaching or passing through an intersection, the detection region is widened to detect intersecting vehicles. When on a straight road or in a parking lot, the detection region is narrowed to reduce false detections. This dynamic adjustment resolves the contradiction between detection accuracy and false detection rate.
Solution Approach 2:
The patent applies local quality by creating different detection region configurations for different spatial contexts. Instead of using a uniform wide detection region everywhere, the system uses a narrow detection region for straight road/parking lot scenarios and a wide detection region for intersection scenarios. This localized adaptation of detection region properties allows the system to optimize for the specific environmental context, improving detection accuracy when needed while reducing false alarms when not needed.
2Reliability
If a fixed narrow detection region is used, then false detections are reduced, but the ability to detect intersecting vehicles at intersections is compromised
Solution Approach 1:
The system dynamically adjusts the detection region width based on the determined travel state. When the vehicle is in an intersection-related state (approaching or passing through), the control unit switches to a wide detection region to ensure intersecting vehicles are detected. When in a non-intersection state (straight road or parking lot), the system uses a narrow detection region to minimize false alarms. This dynamic switching resolves the contradiction by adapting the detection region to the current operational context.
3Measurement precision
If the detection region is continuously adjusted based on travel state, then detection accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the travel state determination into distinct, manageable states: intersection approach state, intersection passage state, and other states (straight road, parking lot). Each state has a predetermined associated detection region configuration. This segmentation of the control logic into discrete states and transitions makes the system easier to implement and manage compared to a continuous, complex adjustment mechanism, while still achieving adaptive detection accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately detects moving objects with high collision probability while reducing false alarms by adapting detection regions to the vehicle's environment, thereby enhancing safety and reducing unnecessary braking operations.
Implementation Method 1
When objects having a high collision probability such as another vehicle, pedestrian, and the like in front of an own vehicle are detected by using a millimeter-wave radar and a camera
Implementation Method 2
a camera so as to avoid a collision between the own vehicle and another vehicle or between the own vehicle and the pedestrian
Data Source
AI summary
A vehicle collision avoidance support apparatus includes a state determination unit configured to determine whether or not there is a state where a moving object proceeding in a direction intersecting with a traveling direction of a vehicle may exist; a first sensor configured to detect an object in front of the vehicle; and an avoidance operation control unit configured to cause the vehicle to perform a predetermined avoidance operation for avoiding a collision according to a detection result of the first sensor within a determination region in front of the vehicle. The avoidance operation control unit uses a region that is wider in a direction perpendicular and horizontal to the travelling direction as the determination region when it is determined that there is a state where the moving object may exist in comparison with when it is determined that there is no state where the moving object may exist.