Autonomous Vehicle Parking Map Generation
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Solution Overview
Problem
Current autonomous vehicle systems lack efficient methods for creating and utilizing environmental maps to facilitate autonomous parking, particularly in complex environments with obstacles, and do not effectively adapt to changing parking positions or retrieval locations.
Innovation Solution
A vehicle parking system equipped with sensors and a processor creates and stores maps of parking environments, allowing for autonomous navigation and adjustment of parking positions based on sensor data and user inputs, including learning and storing spatial data for preferred and alternative parking spots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current autonomous vehicle systems are used for parking, then basic autonomous parking can be achieved, but the system cannot efficiently create and utilize environmental maps to facilitate autonomous parking in complex environments with obstacles
Solution Approach 1:
The system creates and stores environmental maps of parking locations in advance before autonomous parking is needed. This preliminary mapping action allows the vehicle to efficiently navigate complex environments later without real-time complexity, as the spatial layout and obstacles are pre-documented in structured map data
Solution Approach 2:
The system creates simplified map representations (copies) of the physical parking environment that capture essential spatial information. These map copies store obstacle locations, parking spot positions, and environmental features, allowing the autonomous system to operate with simplified data rather than processing complex real-time sensor information
2Reliability
If autonomous parking systems navigate complex environments with obstacles, then parking capability is improved, but the system lacks effective methods for creating environmental maps
Solution Approach 1:
The autonomous vehicle performs its own environmental mapping by utilizing its existing sensors (cameras, LIDAR, ultrasonic sensors) to capture and process spatial data. The system self-generates map data without requiring external mapping equipment or manual environment preparation, making the mapping process as easy as deploying the vehicle
3Measurement precision
If the system stores detailed spatial data for parking positions, then positioning precision is improved, but data storage requirements increase
Solution Approach 1:
The system extracts only the essential spatial information needed for autonomous parking from the complete environmental data. Rather than storing all sensor data, it selectively extracts and stores key elements such as obstacle locations, parking spot coordinates, and critical spatial relationships, maintaining positioning precision while minimizing data storage requirements
Data Source
AI summary
A method of parking a vehicle includes creating a map of a parking environment utilizing data from at least one sensor coupled to a vehicle. The method further includes storing the map in a data storage device. The method also includes receiving a first learn signal indicating that the vehicle is located in a first parking position. The method further includes determining a first set of spatial data indicative of the location of the vehicle relative to the map in response to receiving the first learn signal. The method also includes storing the first set of spatial data in the data storage device.