Vehicle Control System Remote Parking Verification
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Solution Overview
Problem
Processing data from various sensors in a vehicle environment is computationally expensive, consuming significant processor cycles and memory, which can impede the efficient operation of vehicle control systems.
Innovation Solution
A vehicle control system that offloads the processing of sensor data to a remote computer, using image recognition techniques and machine learning algorithms to verify candidate markers for parking spaces, thereby reducing the computational load on the vehicle computer and enabling efficient determination of parking availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is processed by the vehicle computer, then object identification accuracy is improved, but computational resource consumption increases
Solution Approach 1:
The patent extracts the computationally intensive object identification and marker verification functions from the vehicle computer and relocates them to a remote server. The vehicle computer retains only basic sensor data collection and transmission functions, while the remote server performs complex image processing, machine learning-based marker verification, and parking space identification, thereby reducing onboard computational resource consumption while maintaining high identification accuracy.
Solution Approach 2:
The patent introduces a remote server as an intermediary between the vehicle computer and the environment. The vehicle computer sends sensor data to the remote server, which processes the data and returns verification results. This intermediary handles the computationally expensive tasks of image recognition and marker verification, allowing the vehicle computer to operate with minimal computational burden while still achieving accurate object identification.
2Measurement precision
If remote verification of parking spaces is implemented, then parking space identification accuracy is improved, but communication time is increased
Solution Approach 1:
The patent implements preliminary action by having the vehicle computer identify candidate parking spaces and markers before transmitting data to the remote server. The vehicle computer performs initial filtering and selection of potential parking spaces based on sensor data, so that the remote server only needs to verify a limited set of candidates rather than processing all possible parking spaces. This preliminary identification reduces the communication payload and accelerates the verification process.
Solution Approach 2:
The patent applies partial action by having the vehicle computer perform initial identification of parking spaces and markers locally before remote verification. This partial local processing reduces the amount of data that needs to be transmitted and processed remotely, thereby reducing communication time while maintaining high identification accuracy through the combination of local and remote verification.
Data Source
AI summary
Image data is obtained about an area that includes a plurality of sub-areas. One of the sub-areas is selected as a destination sub-area based on the destination sub-area being unoccupied. Then, upon detecting a candidate marker for the destination sub-area, the image data including the candidate marker is provided to a remote computer. A vehicle is operated to a stop in the destination sub-area. Then, upon receiving a message from the remote computer specifying an availability of the destination sub-area based at least on the image data, the vehicle is maintained in the destination sub-area or the vehicle is operated out of the destination sub-area.