Cut-In Detection Region Control for Low-Speed Vehicle Following
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Solution Overview
Problem
Existing vehicle driving assistance systems, such as adaptive cruise control (ACC), face challenges in detecting cut-in vehicles during low-speed following travel and when lane lines are unclear, leading to potential misidentification of adjacent vehicles as cut-in vehicles and decreased detection precision.
Innovation Solution
A vehicle driving assistance apparatus that includes sensors and circuitry to acquire environment information, detect a leading vehicle, and set a cut-in detection region with a protruding shape that adjusts its left-right width based on vehicle speed, allowing for early detection of cut-in vehicles and preventing misidentification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed monitoring region is set for detecting cut-in vehicles during following travel, then the system structure is simple, but detection precision decreases when vehicle speed varies
Solution Approach 1:
The monitoring region is dynamically adjusted based on vehicle speed. When vehicle speed decreases, the left-right width of the monitoring region increases to account for greater lateral displacement of cut-in vehicles. This dynamic adaptation resolves the contradiction by making the system responsive to varying operational conditions without requiring multiple fixed configurations.
Solution Approach 2:
The system changes the geometric parameters of the monitoring region (specifically the left-right width) according to vehicle speed parameters. This parameter-based adaptation allows the monitoring region to scale appropriately with speed conditions, improving detection precision across different driving scenarios while maintaining a unified region-setting mechanism.
2Reliability
If the monitoring region width is increased to detect cut-in vehicles at low speed, then detection coverage improves, but false detection of adjacent vehicles increases
Solution Approach 1:
The monitoring region width is dynamically adjusted based on vehicle speed. At low speeds, the width increases to capture cut-in vehicles that may travel laterally. At higher speeds, the width decreases to avoid including adjacent vehicles in normal lanes. This dynamic adjustment resolves the contradiction by adapting the region boundaries to actual operational conditions.
Solution Approach 2:
The monitoring region has non-uniform width characteristics that vary with vehicle speed. The left-right extent of the region is locally adjusted based on speed conditions, allowing the system to expand coverage where needed (at low speeds) while maintaining selective coverage where false detections are more likely (at higher speeds).
3Measurement precision
If a standard rectangular monitoring region is used, then the system is easy to implement, but detection accuracy decreases when lane lines are unclear or absent
Solution Approach 1:
The monitoring region adapts dynamically to lane line detection results. When lane lines are clearly detected, the region is constrained within lane boundaries. When lane lines are unclear or absent, the region expands beyond standard boundaries to provide broader coverage. This dynamic adaptation resolves the contradiction by making the system resilient to varying road marking conditions.
Data Source
AI summary
A driving assistance apparatus for a vehicle includes a surrounding environment information acquirer that acquires environment information about a surrounding of the vehicle, a leading-vehicle detector that detects a leading vehicle based on the environment information, a moving-body detector that detects a moving body in the surrounding of the vehicle based on the environment information, a vehicle-speed detector that detects a vehicle speed of the vehicle, and a region setter that sets a cut-in detection region for detecting entrance of the moving body between the vehicle and the leading vehicle when a travel controller causes the vehicle to travel such that the vehicle follows the leading vehicle. The region setter sets a protruding region that is included in the cut-in detection region based on at least the vehicle speed such that a length of protrusion in a left-right direction of the protruding region increases as the vehicle speed decreases.