Garage Parking Collision Avoidance via Historical Data Zones
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Solution Overview
Problem
Current systems for preventing collisions in parking garages are inadequate, particularly in tight environments, as they often rely on costly real-time sensor data or mapping, which may not effectively warn vehicle operators of potential collisions.
Innovation Solution
A method using crowdsourced historical parked-vehicle data to determine a warning zone within a parking garage, employing Kernel Density Estimation and cumulative distribution functions to identify unsafe parking areas, and generating notifications to operators to avoid collisions without relying on real-time sensor data or costly mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time sensor data and costly mapping are used to prevent collisions, then collision detection accuracy is improved, but system cost and complexity increase
Solution Approach 1:
The system performs preliminary mapping of parking garage environments using historical parking data from multiple vehicles before real-time collision detection is needed. This pre-processing creates a static map of safe and unsafe zones that can be reused, eliminating the need for costly real-time sensor systems while maintaining collision detection accuracy
Solution Approach 2:
Instead of using expensive real-time sensor data and mapping systems, the invention creates a simplified copy or representation of the parking environment using crowdsourced historical parking locations. This virtual map serves as a sufficient approximation for collision avoidance without requiring expensive hardware
2Measurement precision
If real-time sensor data is used to warn operators, then collision warning accuracy is improved, but data acquisition cost and system complexity increase
Solution Approach 1:
The system uses crowdsourced historical parking data from multiple vehicles to collectively build the warning zone maps. Each vehicle contributes its parking location data, and the system serves all vehicles using this collectively generated information, eliminating the need for each vehicle to have expensive dedicated sensing and mapping hardware
Solution Approach 2:
The invention introduces a centralized server as an intermediary that collects, processes, and stores historical parking data from multiple vehicles. This server acts as a mediator between vehicles and the collision avoidance function, providing processed warning zone information without requiring complex local processing or expensive sensors in each vehicle
Data Source
AI summary
A method for generating garage parking notifications includes receiving current parked-vehicle data indicating that a vehicle has been parked inside a garage. The current parked-vehicle data includes the current location of the vehicle parked inside the garage. The method further includes determining whether the current location of the vehicle inside the garage is within a warning zone. The warning zone is an area inside the garage where the vehicle has not been frequently parked. The warning zone area is determined using historical parked-vehicle data. The method further includes generating a notification to warn an operator of the vehicle that the vehicle should be moved in response to determining that the current location of the vehicle inside the garage is within the warning zone.