Collision Avoidance Assist Apparatus for Lateral Object Detection
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Solution Overview
Problem
Existing collision avoidance systems fail to effectively manage close encounters between vehicles and laterally moving objects, such as two-wheeled vehicles, leading to potential driver anxiety due to inaccurate detection of the object's length and proximity, resulting in inadequate response to avoidable collisions.
Innovation Solution
A collision avoidance assist system that includes an object detection module, an estimation module to predict future locations of both vehicles, and a determination module to assess collision risk by evaluating the overlap of hazard regions and intended travel paths, with the ability to adjust based on the speed of the laterally moving object, thereby enabling proactive vehicle control to maintain safe distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the length of the laterally moving object is increased for prediction purposes, then the detection accuracy is improved, but the driver experiences increased anxiety when the object actually passes close by
Solution Approach 1:
The system performs preliminary collision avoidance processing by predicting future locations of both the vehicle and laterally moving objects, and determining collision possibilities in advance before the actual encounter occurs. This allows the system to prepare appropriate responses ahead of time, reducing last-minute startling reactions.
Solution Approach 2:
The system dynamically adjusts the predicted length of laterally moving objects based on their speed and movement characteristics. Faster objects are assigned longer predicted lengths to ensure adequate safety margins, while slower objects use shorter predictions, making the response more natural and less alarming to drivers.
2Reliability
If the vehicle maintains a larger safety distance from laterally moving objects, then collision risk is reduced, but the vehicle's travel efficiency and speed are degraded
Solution Approach 1:
The system determines collision possibilities in advance by predicting future positions and evaluating hazard regions before the vehicle reaches critical proximity to laterally moving objects. This preliminary assessment allows for smooth, planned deceleration or route adjustments rather than sudden emergency maneuvers, maintaining travel efficiency while ensuring safety.
Solution Approach 2:
The system changes safety parameters dynamically based on the speed and trajectory of laterally moving objects. When objects move faster or on trajectories that increase collision risk, the system increases the safety distance. When risk is lower, the system reduces the safety margin, allowing the vehicle to maintain higher speeds and better travel efficiency.
3Reliability
If the system responds to all detected objects with caution, then safety is improved, but false alarms and driver frustration increase
Solution Approach 1:
The system performs preliminary evaluation of collision possibilities by predicting future locations and assessing hazard region overlaps before triggering any alarm or response. Only objects that present actual collision risks based on this preliminary analysis trigger driver alerts, filtering out false alarms from objects that will naturally pass safely.
Solution Approach 2:
The system applies different levels of caution and response intensity to different laterally moving objects based on their specific characteristics such as speed, trajectory, and predicted path. High-risk objects receive full cautionary responses, while low-risk objects receive minimal or no response, creating a differentiated safety approach that maintains driver confidence.
Data Source
AI summary
A collision avoidance assist apparatus includes: an object detection part configured to detect a second moving object that crosses ahead in a travel direction of a first moving object; an estimation part configured to estimate a relationship between a future location of the first moving object and a future location of the second moving object based on a location of the detected second moving object; and a determination part configured to determine that there is a possibility that the first moving object and the second moving object will collide with each other in a case where the second moving object is capable of passing the first moving object without colliding with the first moving object based on the estimated relationship and a relationship between the first moving object and the second moving object when the second moving object passes the first moving object satisfies a predetermined condition.