Vehicle Camera System for Maneuver Detection and Risk Reporting
Solution Overview
Problem
Current vehicle systems lack effective methods to monitor and respond to the driving behaviors of surrounding vehicles, particularly in real-time, which can lead to unsafe driving conditions due to maneuvers like lane changes without signaling or collisions, and do not efficiently communicate risk information to other vehicles or regulatory bodies.
Innovation Solution
A vehicle system equipped with cameras, sensors, and a communication module that captures images of surrounding vehicles, determines license plate information, and generates reports on driving maneuvers, which are transmitted to a server for risk scoring and used to adjust vehicle operations such as torque output, steering, and braking, while also reporting risky vehicles to regulatory bodies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle system continuously monitors and captures images of surrounding vehicles using cameras and sensors, then the ability to detect unsafe driving behaviors is improved, but the energy consumption and computational load increase
Solution Approach 1:
The system performs monitoring and image capture at periodic intervals rather than continuously. The event module triggers image capture only when specific driving maneuvers are detected, reducing energy consumption while maintaining detection accuracy for unsafe behaviors.
Solution Approach 2:
The system automatically processes captured images through license plate recognition and maneuver detection without requiring continuous human intervention. The event module self-triggers based on detected anomalies, reducing computational load by focusing processing only on relevant events.
2Loss of information
If the system generates and transmits detailed reports of driving maneuvers to servers, then the ability to communicate risk information is improved, but the communication bandwidth and data transmission time increase
Solution Approach 1:
The system extracts only the most critical information from captured images for reporting - specifically license plate information and maneuver type. This selective extraction reduces data transmission requirements while maintaining the essential safety information needed for risk assessment.
Solution Approach 2:
The system creates simplified digital representations of the captured images, extracting key features (license plate text, maneuver classification) rather than transmitting the full high-resolution images. This copying approach preserves essential information while dramatically reducing bandwidth requirements.
3Reliability
If the vehicle adjusts operations based on risk scores of surrounding vehicles, then the ability to respond to unsafe conditions is improved, but the complexity of control systems increases
Solution Approach 1:
The system applies different control adjustments to different vehicle systems based on the specific risk situation. Rather than a single complex control algorithm, it selectively adjusts torque output, steering, or braking depending on the detected maneuver type and risk score, simplifying the overall control architecture.
Solution Approach 2:
The system combines risk assessment and control decisions into an integrated response framework. The event module, reporting module, and control adjustments work together as a unified system that automatically responds to detected maneuvers, reducing the complexity of coordinating multiple independent control systems.
Data Source
AI summary
A system of a vehicle includes: a camera configured to capture images within a predetermined field of view at least one of: in front, behind, and beside the vehicle; a license plate module configured to determine license plate information of a license plate attached to another vehicle; an event module configured to: based on at least one of the images, determine whether the other vehicle performed a predetermined type of driving maneuver; and generate an indicator in response to the other vehicle performing the predetermined type of driving maneuver; a reporting module configured to, in response to the generation of the indicator, generate a report including: the license plate information of the license plate attached to the other vehicle; and the predetermined type of driving maneuver performed by the other vehicle; and a communication module configured to wirelessly transmit the report to a server via at least one antenna.