Vehicle Vision Control for Unintended Motion Detection and Braking
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Solution Overview
Problem
Existing vehicle imaging systems fail to effectively detect and prevent unintended vehicle motion, such as rolling forward or backward, especially when the driver neglects to engage the parking brake on inclines.
Innovation Solution
A vehicle vision system utilizing CMOS cameras and an electronic control unit (ECU) processes image data to detect objects and determine vehicle movement, comparing actual and expected driving conditions to identify unintended motion, and applies brakes or alerts the driver to prevent such motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing vehicle imaging systems are used, then basic object detection is provided, but unintended vehicle motion cannot be detected or prevented
Solution Approach 1:
The existing imaging system is enhanced to perform multiple functions: basic object detection, vehicle motion detection, and unintended motion prevention. The system processes image data to detect both external objects and internal vehicle movement states, making the imaging system universal for safety-critical functions.
Solution Approach 2:
An electronic control unit (ECU) acts as an intermediary between the imaging system and the brake system. The ECU processes image data to detect unintended motion and generates control signals to apply brakes, serving as a mediator that translates visual information into preventive action.
2Reliability
If the vehicle applies brakes automatically to prevent unintended motion, then safety is improved, but the system complexity increases
Solution Approach 1:
The patent merges the imaging system, motion detection algorithms, and brake control functions into an integrated safety system. By combining these previously separate functions into a unified system managed by the ECU, the patent reduces overall system complexity while maintaining high safety standards.
3Measurement precision
If the system processes image data continuously to detect motion, then detection precision is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic image processing at strategically selected time intervals rather than continuous processing. The ECU determines when motion detection is necessary based on driving conditions, processing image data periodically to maintain precision while minimizing energy consumption during normal operation.
Data Source
AI summary
A vehicular driver assist system includes a camera disposed at a vehicle and an electronic control unit (ECU) having an image processor for processing image data captured by the camera. Responsive to processing by the image processor of captured image data, the ECU detects an object in the vicinity of the vehicle. The ECU, responsive to detecting the object, determines movement of the detected object relative to the vehicle. The ECU, responsive to determining movement of the detected object relative to the vehicle, determines a current driving condition of the vehicle. The ECU compares the current driving condition to a current actual speed of the vehicle and determines whether or not the vehicle is moving unintentionally. Responsive to determining that the vehicle is moving unintentionally, the system slows the vehicle or generates an alert to a driver of the vehicle.