Vehicle Impact Detection Grid for Parked Collision Avoidance
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Solution Overview
Problem
Existing systems fail to effectively detect and mitigate low-speed, low-probability vehicle impacts by combining sensor data from multiple modalities to enhance accuracy and reliability, particularly for parked and unoccupied vehicles.
Innovation Solution
A virtual sensing grid system that integrates data from optical, ultrasonic, and radar sensors to determine the location and velocity of moving objects, using a Kalman filter for trajectory prediction and a control barrier function to assess threat levels, enabling proactive vehicle control to reduce impact probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a vehicle is parked or unoccupied, then energy consumption is reduced and the vehicle is stationary, but the vehicle cannot take evasive actions to avoid low-speed impacts from moving objects
Solution Approach 1:
The vehicle system performs self-protection by automatically detecting moving objects and executing evasive maneuvers without human intervention. The system monitors the environment using sensors, determines threat levels based on object trajectories, and autonomously controls vehicle movements to avoid collisions, enabling the parked vehicle to protect itself independently.
Solution Approach 2:
The system performs preliminary detection and assessment of potential threats before actual impact occurs. By continuously monitoring the environment and predicting trajectories of moving objects, the system prepares and executes evasive actions in advance, preventing collisions before they happen rather than reacting after impact.
2Reliability
If multiple sensors are used to detect moving objects, then detection accuracy and reliability are improved, but device complexity increases
Solution Approach 1:
The system combines data from multiple sensors (cameras, LIDAR, radar, ultrasonic sensors) into a unified detection framework. By merging sensor inputs and processing them through a common threat assessment algorithm, the system achieves reliable detection of moving objects while avoiding the complexity of managing separate independent sensor systems.
Solution Approach 2:
The sensor system is designed to perform multiple functions: detecting moving objects, determining their trajectories, assessing threat levels, and providing input for evasive maneuvers. This multi-functional approach allows a single integrated sensor system to replace multiple specialized systems, reducing overall complexity while maintaining detection accuracy.
Data Source
AI summary
A computer that includes a processor and a memory, the memory including instructions executable by the processor to determine a location and a trajectory of a moving object with respect to a stationary vehicle based on one or more first stationary vehicle sensors. A threat level can be determined based on the location and the trajectory of the moving object, and a control barrier function. Based on the threat level, the stationary vehicle can be operated to move the stationary vehicle to reduce a probability of impact between the stationary vehicle and the moving object.