Leading Vehicle Hazard Detection Using License Plate Image Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing collision avoidance systems fail to identify vehicles with driver risk factors such as being uninsured, unlicensed, or unregistered, leading to potential collisions and complications in identifying the driver or owner post-accident.
Innovation Solution
A vehicle system that uses image data to analyze visible indicators on a leading vehicle, such as license plates, to determine if it poses a hazard and automatically maneuvers to avoid collisions, including semi- or fully autonomous responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image data is captured and analyzed to identify leading vehicle hazards, then collision avoidance capability is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system divides the hazard detection task into distinct modules: image capture by sensors, image data processing by the controller, hazard determination logic, and vehicle command generation. This segmentation allows each component to be optimized independently while maintaining overall system reliability for collision avoidance.
Solution Approach 2:
The system performs preliminary image capture and analysis of the leading vehicle before a collision hazard materializes. By continuously monitoring and pre-processing image data of the leading vehicle's identifiable areas, the system prepares hazard assessments in advance, enabling timely collision avoidance maneuvers when hazards are detected.
2Reliability
If automated driving maneuvers are implemented to avoid hazards, then safety is improved, but control system complexity increases
Solution Approach 1:
The system merges the hazard detection function with the existing automated driving control system. The controller device integrates image-based hazard determination with the vehicle's automated maneuvering capabilities, allowing the same control system to handle both navigation and safety functions, thereby reducing overall control system complexity while improving safety.
Solution Approach 2:
The automated driving system performs self-service by autonomously generating and executing collision avoidance maneuvers without requiring external intervention. When the controller determines a hazard based on image data, the system automatically generates vehicle commands and executes appropriate maneuvers, enabling the vehicle to protect itself without adding complex external control mechanisms.
Data Source
AI summary
Systems and methods are provided to implement detecting a leading vehicle hazard. System and methods visually ascertain if certain driver risk factors are exhibited by a proceeding vehicle (and driver) that indicate the vehicle is potentially hazardous, such as obtaining images of an expired license plate on the vehicle. In response, a vehicle performs a computer-controlled maneuver so as to safely evade the potentially hazardous leading vehicle, thereby substantively lowering the potential of a dangerous collision with said vehicle which can lead to loss, damage, and/or bodily injury. For example, a system can include a vehicle sensor capturing image data of a leading vehicle. The system can also include a controller device that determines whether the leading vehicle is a hazard based on the image data, and generates a vehicle command that effectuates a computer-controlled automated driving maneuver or automated driving action to avoid collision with the leading vehicle.