V2V Collision Prediction Using Dynamic Path Coordinates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional collision control systems for vehicles are inefficient due to the need for numerous sensors, complexity in interpreting sensory inputs, inflexible configurations, limited predictive capabilities, and issues with sensor performance and communication networks, which can lead to missed collisions and increased costs.
Innovation Solution
A collision control system using vehicle-to-vehicle communication to determine the dynamic paths of host and remote vehicles, predicting potential collisions by calculating trigonometric relationships and modifying vehicle paths to avoid intersections, eliminating the need for external sensors and improving predictive capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple external sensors are used for 360-degree detection, then collision detection coverage is improved, but system cost and complexity increase significantly
Solution Approach 1:
The patent extracts the collision detection function from external sensors and relocates it to the remote vehicle's existing navigation sensors. The host vehicle uses V2V communication to receive collision predictions from the remote vehicle, eliminating the need for multiple external sensors on the host vehicle while maintaining comprehensive detection coverage.
Solution Approach 2:
The patent makes the remote vehicle's navigation system serve multiple functions: it not only navigates the remote vehicle but also performs collision detection for the host vehicle. This multi-functionality allows the system to achieve 360-degree collision detection capability without adding sensors to the host vehicle.
2Reliability
If numerous sensors are deployed for comprehensive detection, then detection coverage is improved, but reliability decreases due to complexity in interpreting and fusing sensory inputs
Solution Approach 1:
The patent extracts the sensor fusion and interpretation complexity from the host vehicle system and relocates it to the remote vehicle. The host vehicle simply receives processed collision prediction data via V2V communication, avoiding the complexity of fusing multiple sensor inputs while maintaining high detection accuracy.
3Reliability
If conventional sensor-based systems are used, then collision detection is achieved, but operational flexibility is limited by sensor capabilities and communication bandwidth
Solution Approach 1:
The patent inverts the conventional approach by having the remote vehicle perform collision detection for the host vehicle instead of the host vehicle detecting collisions itself. This inversion allows the system to overcome sensor range limitations and communication bandwidth constraints, as the remote vehicle's sensors can detect objects that would be outside the host vehicle's sensor range.
4Measurement precision
If map databases and vision systems are used for path prediction, then predictive capability is improved, but system cost and performance in challenging conditions worsen
Solution Approach 1:
The patent applies self-service by having each vehicle independently predict its own future path based on its current position, speed, and heading. The vehicles exchange these self-generated path predictions via V2V communication, eliminating the need for expensive map databases and vision systems while maintaining accurate path prediction capability.
Data Source
AI summary
A collision detection and path prediction system (10) adapted for use with a traveling host vehicle (12) having an operator, includes a locator device (20) configured to determine the current position coordinates, and pluralities of trail and immediate dynamic path coordinates of the vehicle (12) and a communicatively coupled traveling remote vehicle (16). The system further includes a preferred controller (36) configured to predict a collision between the two vehicles (12,16) from the coordinates, and determine a plurality of projected path coordinates for the host vehicle (12) relative to the remote vehicle (16) trail coordinates.