Autonomous Parking Data Compilation via Onboard Sensor Mapping
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Solution Overview
Problem
Current systems for autonomous driving in parking facilities rely on external data sources, which are costly and often unavailable for private or uncharted parking areas, limiting the ability of vehicles to navigate and park independently within these spaces.
Innovation Solution
A method and system utilizing one or multiple surroundings sensor systems to detect and ascertain data during a manually guided trip, allowing a motor vehicle to autonomously drive within a parking facility by compiling digital maps and determining potential parking positions, enabling efficient navigation and autonomous operation without external service providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If external data sources are used for autonomous driving in parking facilities, then navigation capability is improved, but cost and availability are worsened
Solution Approach 1:
The vehicle uses its own sensor systems to autonomously detect and map the parking facility environment, eliminating dependence on external data providers. The vehicle independently creates digital maps and identifies parking spaces through self-contained sensing and processing capabilities.
Solution Approach 2:
The system performs preliminary environmental scanning and digital mapping during manual driving phases before autonomous operation is needed. This advance data collection ensures that navigation data is available when required, eliminating the need for real-time external data sources.
2Measurement precision
If external service providers are used to ascertain parking facility data, then data accuracy is improved, but cost is worsened
Solution Approach 1:
The patent replaces external service provider operations with automated sensor systems and onboard processing units. Multiple sensor systems (cameras, LIDAR, radar) automatically detect and map the environment, substituting human-based external data collection with automated electronic sensing.
Solution Approach 2:
The system creates digital copies of the physical parking facility environment through sensor data. Digital maps and spatial models are generated that replicate the physical space, allowing autonomous navigation without physical surveyors or external mappers.
3Reliability
If comprehensive surroundings detection is performed during manual trips, then autonomous driving data quality is improved, but time consumption is worsened
Solution Approach 1:
The sensor systems continuously operate during manual driving trips, constantly collecting environmental data without interrupting normal vehicle operation. This continuous data collection transforms otherwise wasted time into productive data gathering periods.
Solution Approach 2:
The system collects more data than strictly necessary during manual trips, gathering comprehensive environmental information that exceeds immediate needs. This excessive data collection during low-priority periods ensures high-quality data availability when autonomous operation occurs.
Data Source
AI summary
A method for ascertaining data for an autonomous driving operation of a motor vehicle within a parking facility using one or multiple surroundings sensor system(s). The method includes detecting present surroundings of the motor vehicle during a manually guided trip of the motor vehicle within the parking facility with the aid of the surroundings sensor system(s) to ascertain the surroundings data corresponding to the surroundings, and ascertaining the data for an autonomous driving operation of the motor vehicle within the parking facility based on the surroundings data so that the motor vehicle may autonomously drive within the parking facility based on the ascertained data.