AV Geocoding Trajectory Control for Hard-to-Reach Asset Mapping
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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 difficult or remote locations, making it time-consuming and difficult to regularly collect and geocode data for objects like fences, bridges, or power lines.
Innovation Solution
An automated vehicle (AV) system that communicatively couples a content generating device to a system controller, allowing the AV to collect and geocode target data by extracting features, comparing them to model data, and determining a trajectory based on the AV's state and objectives, using GPS and sensor data to associate geographic information with the collected data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual geocoding methods are used with specialized location aware devices, then geocoding accuracy can be maintained, but the process becomes time-consuming and difficult to perform regularly
Solution Approach 1:
The system enables automated vehicles to autonomously collect, geocode, and upload data without human intervention. The vehicle's onboard systems automatically perform geocoding by comparing collected images with reference images and assigning geographic coordinates, eliminating the need for manual geocoding operations while maintaining accuracy through automated feature matching and coordinate assignment.
Solution Approach 2:
The patent replaces manual mechanical geocoding processes with automated electronic systems. Instead of manually operating specialized location-aware devices and synchronizing data through software, the system uses automated vehicles with onboard cameras, GPS receivers, and processing systems that automatically capture, geocode, and transmit data in real-time during vehicle operation.
2Measurement precision
If specialized location aware devices are used for geocoding, then geocoding capability is achieved, but device compatibility and integration with other electronic devices becomes challenging
Solution Approach 1:
The automated vehicle system performs multiple functions using a single integrated platform: it captures images with onboard cameras, determines location via GPS receiver, processes and geocodes data through the system controller, and uploads results to remote systems. This multi-functional approach eliminates the need for separate specialized location-aware devices and achieves full geocoding capability within the vehicle's existing electronic architecture.
Solution Approach 2:
The patent combines geocoding functionality with the automated vehicle's existing electronic systems. The system controller integrates image processing, GPS coordinate assignment, and data transmission functions into a unified system, merging previously separate geocoding operations with the vehicle's navigation and data management capabilities to achieve seamless integration.
3Quantity of substance
If data collection is performed manually for objects in difficult terrain, then data can be collected, but the process becomes difficult and time-consuming
Solution Approach 1:
The automated vehicle autonomously navigates to locations, captures images of objects in difficult terrain, determines its own geographic coordinates through GPS, geocodes the collected data by comparing images with reference images, and uploads results to remote systems. The entire data collection process occurs automatically during the vehicle's operational routes without requiring manual intervention, making data collection in difficult terrain as easy as programming the vehicle's route.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and automated geocoding of data as the AV traverses a route, facilitating regular data collection and geocoding, even in hard-to-reach locations, by integrating GPS and sensor data to accurately associate geographic information with collected content.
Implementation Method 1
The GPS receiver determines a location of the automated vehicle
Implementation Method 2
The camera captures an image of an environment in which the target is disposed
Data Source
AI summary
Systems and methods for determining an Automated Vehicle (AV) trajectory are described. More particularly, a method for determining an AV trajectory proceeds by communicatively coupling an AV content generating device to an AV system controller. The AV content generating device collects target data associated with a target. The AV system controller extracts target features from the target data. The AV system controller compares the extracted target features to target model data to determine a target pose. The AV system controller compares the target pose with at least one target objective to determine an AV trajectory.