Free Space Signal Detection for Close Cut-in Vehicles
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Solution Overview
Problem
Conventional Adaptive Cruise Control (ACC) systems face limitations in detecting close cut-in vehicles due to the limited field of view of front and rear cameras, increasing collision risks and reducing traveling stability.
Innovation Solution
A system and method utilizing a front camera to detect free space signals, processing point-type information to analyze and select close cut-in vehicles as control targets, implementing deceleration control based on relative speed calculations to enhance recognition time and reduce collision risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional front and rear cameras are used for ACC, then the system structure is simple, but the detection capability of close cut-in vehicles is limited due to limited field of view
Solution Approach 1:
The patent transitions from conventional 2D camera images to 3D free space information representation. By mapping detected objects into a three-dimensional free space model with depth, height, and width dimensions, the system achieves comprehensive detection of close cut-in vehicles that were previously undetectable due to camera field of view limitations.
2Reliability
If the field of view is expanded to detect more vehicles, then the detection capability improves, but the processing complexity increases
Solution Approach 1:
The patent segments the detection space into discrete free space units with specific dimensions. By dividing the three-dimensional space into manageable segments and assigning objects to specific segments based on their spatial coordinates, the system efficiently processes multiple vehicles without overwhelming computational complexity.
Solution Approach 2:
The free space information serves as an intermediary data structure between the camera detection stage and the vehicle identification stage. This intermediate representation simplifies the processing by organizing raw detection data into a structured three-dimensional format that facilitates efficient vehicle detection and tracking.
3Reliability
If conventional camera detection is used, then the system is easy to operate, but the collision risk increases due to limited detection capability
Solution Approach 1:
The patent replaces the conventional two-dimensional camera imaging mechanism with a three-dimensional free space information processing system. This substitution enables comprehensive detection of close cut-in vehicles from multiple spatial perspectives, significantly reducing collision risks while maintaining automated operation.
Data Source
AI summary
The present invention relates to a system and method for detecting a close cut-in vehicle based on free space, wherein the system includes a front camera detecting free space information displaying objects in front of own vehicle and transmitting the information to an electronic control unit, and a cut-in vehicle detection unit selecting a close cut-in vehicle as a control target through a situation analysis by using the free space information inputted from the front camera, and performing a deceleration control in response to the calculated demand acceleration by using a relative speed of the selected control target, whereby a collision risk of ACC (Adaptive Cruise Control) can be reduced and a traveling stability can be enhanced by moving up a recognition time of a close cut-in vehicle using free space information.