Reverse Driving Collision Warning Using Overlapping Path Prediction
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Solution Overview
Problem
Conventional collision avoidance systems in vehicles often provide unnecessary warnings and controls during reverse parking or unparking due to a wide collision determination range, interfering with safe driving by frequently alerting drivers to potential rear collisions.
Innovation Solution
A method and system using an electronic control unit (ECU) that generates warning areas and path trajectories based on sensor information to determine the risk of rear cross collisions by calculating overlapping areas and times to intersection, thereby selectively issuing warnings and controlling vehicle movements to avoid collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a wide collision determination range is used to ensure comprehensive safety coverage, then the safety coverage area is improved, but unnecessary warnings and controls are frequently performed, interfering with safe driving
Solution Approach 1:
The patent segments the collision determination process into multiple independent analysis dimensions: warning area generation, target vehicle detection, path trajectory prediction, overlapping area calculation, and time to intersection computation. Each dimension processes specific parameters independently, allowing the system to comprehensively assess collision risk while avoiding unnecessary warnings by requiring convergence of multiple risk indicators before triggering alerts.
2Device complexity
If conventional distance and speed-based collision determination is used, then the system complexity is reduced, but the precision of collision risk determination deteriorates
Solution Approach 1:
The patent transitions from conventional two-dimensional collision assessment (distance and speed only) to a multi-dimensional evaluation framework by introducing spatial warning areas, temporal trajectory predictions, overlapping area calculations, and time to intersection metrics. This dimensional expansion enables precise collision risk determination while maintaining manageable system complexity through modular processing of each dimension.
Solution Approach 2:
The system performs preliminary actions by pre-generating warning areas and predicting path trajectories before actual collision determination. The ECU calculates potential collision zones and expected vehicle paths in advance, then uses these pre-computed data structures to rapidly assess real-time collision risk by comparing current sensor data against the pre-established spatial and temporal frameworks.
Data Source
AI summary
In an embodiment, a vehicle includes sensors configured to generate sensor information by sensing the surroundings of the vehicle and an electronic control unit (ECU) configured to execute code. The code can have instructions for the ECU to generate a warning area and a first path trajectory of the vehicle using the sensor information when the vehicle is driven backward, detect a target vehicle located around the generated warning area, generate a target area and a second path trajectory of the target vehicle when the target vehicle is detected, extract a first overlapping area between the target area and the warning area and a second overlapping area between the first path trajectory and the second path trajectory, and perform control whether to issue a rear cross collision warning depending on changes in the first overlapping area and the second overlapping area.