Roadside Collision Warning for Blocker Vehicle Protection
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Solution Overview
Problem
The increasing distraction of vehicle operators due to technology is leading to a rise in incidents where vehicles collide with blocker vehicles at emergency scenes, construction sites, and other restricted areas, endangering personnel and equipment.
Innovation Solution
A collision avoidance and mitigation system (CAMS) is integrated into blocker vehicles, utilizing sensors and cameras to monitor approaching vehicles, evaluate threat levels, and transmit alerts via sirens, lights, and user devices when a threat threshold is exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blocker vehicles are used to prevent approaching vehicles from entering restricted scenes, then personnel safety is improved, but the risk of collision with distracted drivers increases
Solution Approach 1:
The system performs preliminary detection of approaching vehicles using sensors and cameras before they reach the blocker vehicle. Threat assessment is conducted in advance, and warning alerts are transmitted to approaching vehicles and personnel before a collision can occur, preventing the harmful effect rather than responding to it after occurrence.
Solution Approach 2:
The system continuously monitors the environment around the blocker vehicle using sensors and cameras, evaluates threat levels based on detected vehicles, and provides real-time feedback through alert signals to both the approaching vehicles and personnel. This closed-loop feedback system enables dynamic adjustment of safety measures based on current conditions.
2Measurement precision
If multiple sensors and cameras are integrated into the blocker vehicle, then detection capability is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensors (cameras, LIDAR, radar, ultrasonic sensors) and processing circuits into an integrated collision avoidance and mitigation system module. This merging of detection components and processing functions into a unified system reduces overall complexity compared to separate independent systems while maintaining enhanced detection capabilities through multi-sensor fusion.
Data Source
AI summary
A collision avoidance and mitigation system (CAMS) includes a CAMS module having a housing and at least one of a sensor or a camera that is supported by the housing and one or more processing circuits. The one or more processing circuits being configured to acquire second CAMS data via a roadway camera positioned along a roadway regarding an approaching vehicle, evaluate a threat level of the approaching vehicle based on the second CAMS data, and transmit an alert signal to at least one of an alert system associated with the CAMS module, the approaching vehicle, or a portable device associated with the CAMS module in response to the threat level exceeding a threat threshold.