AV Geocoding Control Using Target Pose and Trajectory Commands
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Solution Overview
Problem
Current systems face challenges in efficiently geocoding user-generated data, particularly when collected from devices with different capabilities, and in accessing or monitoring objects in difficult or hard-to-reach locations, as existing location-aware devices often do not integrate well with other electronic devices, making it time-consuming and difficult to regularly collect and geocode data.
Innovation Solution
An Autonomous Vehicle (AV) system that includes a content generating device, a system controller, and an AV sensor, which collects target data, extracts target features, and determines a motor control command associated with an AV trajectory, allowing for real-time geocoding and data collection while traversing a specified route, using a server to compare target features with model data and transmit motor control commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized location-aware devices are used for geocoding, then geocoding capability is improved, but device integration complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary that receives data from multiple different devices, processes it, and performs geocoding operations. This mediator handles the complexity of integrating data from diverse sources (cameras, sensors, GPS devices) without requiring each device to be directly integrated with every other device, thus maintaining geocoding capability while reducing integration complexity.
Solution Approach 2:
The system is designed to accept and process data from multiple types of devices with different capabilities through a universal interface. The server can handle data from cameras, GPS receivers, and other sensors regardless of their specific characteristics, making the system universally compatible while avoiding the need for device-specific integration complexity.
2Measurement precision
If manual geocoding processes are used, then data accuracy is improved, but time consumption increases
Solution Approach 1:
The system performs automated geocoding operations where the server automatically processes received data, extracts location information, and generates geocoded results without requiring manual intervention. This self-service approach maintains data accuracy through systematic processing while dramatically reducing time consumption compared to manual geocoding methods.
Solution Approach 2:
The system performs preliminary data processing and feature extraction before final geocoding operations. By preparing and organizing data in advance through automated routines, the system ensures accurate geocoding results are achieved more efficiently, reducing overall time consumption while maintaining precision.
3Quantity of substance
If regular data collection from hard-to-reach locations is attempted, then data coverage is improved, but system complexity increases
Solution Approach 1:
The system segments the data collection task by separating the actual data gathering (performed by simple sensors and cameras on the vehicle) from the complex processing tasks (performed by the server). This allows regular data collection from various locations including hard-to-reach areas while keeping the overall system complexity manageable by dividing functions across different components.
Solution Approach 2:
The system uses digital copies of data collected from various locations, processed and stored on a server, to achieve comprehensive data coverage. Instead of requiring complex physical access to every location, the system collects data where accessible and uses computational methods to fill gaps, improving coverage without proportionally increasing system complexity.
Data Source
AI summary
An Autonomous Vehicle (AV) system is described. The AV system is capable of determining at motor control command associated with an AV trajectory. The AV system includes a content generating device, a system controller, and an AV sensor. The content generating device collects target data associated with a target. The system controller is communicatively coupled to the content generating device. The system controller extracts target features from the target data. Also, the system controller compares the extracted target features to target model data to determine a target pose. Additionally, the system controller determines the AV trajectory by comparing the target pose with at least one target objective. The AV sensor determines an AV state. The system controller determines a motor control command associated with the AV trajectory based on the AV state, the target objective, and the AV trajectory.