Intersection Visibility Determination Using Conflict Point Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing intersection visibility determination devices fail to accurately assess visibility at intersections when different types of objects are approaching from the left and right sides, such as a bicycle on a sidewalk and a motorcycle on the road, leading to potential inaccuracies in determining the visibility parameter.
Innovation Solution
The device determines visibility parameters by obtaining information on the type and position of intersecting objects, setting visibility determination areas based on conflict points and virtual braking distances, and considering the presence of obstacles within the driver's field of view, allowing for accurate assessment even when objects from different sides have varying types and positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the visibility determination device uses a general visibility assessment method, then it can determine visibility for common scenarios, but it fails to accurately determine visibility when different types of objects approach from different sides of the intersection
Solution Approach 1:
The visibility determination device divides the intersection area into multiple visibility determination areas based on the approach direction of intersecting objects. Each area corresponds to a specific direction (left side, right side, straight ahead), allowing the device to independently assess visibility for each direction. This segmentation enables accurate visibility determination for different object types and positions without requiring a single generalized assessment method.
Solution Approach 2:
The device applies different visibility assessment criteria to different visibility determination areas based on the local characteristics of approaching objects. For example, when a bicycle approaches from the left sidewalk and a motorcycle approaches from the right road, the device assesses visibility in the left visibility determination area using criteria appropriate for sidewalk users, and in the right visibility determination area using criteria for road users. This local quality approach ensures accurate visibility assessment tailored to each object type and position.
2Measurement precision
If the device considers multiple object types and positions from different sides, then visibility determination accuracy improves, but the complexity of information processing increases
Solution Approach 1:
By segmenting the intersection into multiple visibility determination areas, the device simplifies information processing. Each area can be independently assessed using pre-defined criteria, avoiding the need to process all possible object combinations simultaneously. The control unit selectively activates assessment for specific areas based on detected object types and positions, reducing overall computational complexity while maintaining high accuracy.
Solution Approach 2:
The device changes assessment parameters dynamically based on the detected object types and their positions. When different objects are detected from different sides, the control unit adjusts the visibility determination parameters for each corresponding visibility determination area. This parameter adaptation allows accurate assessment of complex scenarios without requiring a completely complex processing system, as the complexity is managed through conditional parameter adjustment rather than universal complexity.
Data Source
AI summary
An intersection visibility determination device includes an ECU that determines visibility at an intersection. When a host vehicle approaches an intersection with a stop sign, the ECU calculates conflict points at which a trajectory vector of the host vehicle intersects with virtual trajectory vectors of intersecting objects, which are presumed to come from the right side and the left side of the intersection, respectively. The conflict points are calculated based on information on types and traveling positions of the intersecting objects. The ECU sets visibility determination areas at the intersection as viewed from the host vehicle based on the positions of the conflict points, the right-side and the left-side visibility target distances, and the current location of the host vehicle, and calculates, based on the visibility determination areas, visibility distances that are used as visibility parameters indicating whether the visibility at the intersection is good or poor.