Vehicle Scanner Lens Coverage Detection From Trajectory Gaps
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Solution Overview
Problem
Light-based scanning devices in vehicles can malfunction due to partial obstruction of their field of view, leading to safety compromises and navigation inaccuracies.
Innovation Solution
A computer system that determines the lens coverage condition of a light-based scanning device by obtaining light and trajectory data, generating a frame of reference, identifying non-overlapping regions, and comparing vehicle position to these regions to assess lens coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the light-based scanning device operates without continuous monitoring, then the device complexity is reduced, but the reliability deteriorates due to undetected lens obstructions
Solution Approach 1:
The system performs preliminary actions by obtaining trajectory data of upcoming vehicle positions and light data of the environment in advance. The computer system generates a frame of reference and identifies non-overlapping regions before the vehicle actually reaches problematic positions, allowing proactive detection of lens coverage conditions rather than reactive response to failures.
Solution Approach 2:
The computer system acts as an intermediary between the light-based scanning device and the vehicle's navigation system. It processes light data and trajectory data through intermediate steps (generating frame of reference, identifying non-overlapping regions) to determine lens coverage conditions, mediating between raw sensor data and actionable safety decisions.
2Reliability
If the system monitors lens coverage continuously, then the safety is improved, but the loss of time in data processing increases
Solution Approach 1:
The system obtains trajectory data of upcoming positions in advance, allowing it to predict potential lens coverage issues before they occur. By processing data for future positions rather than waiting for immediate problems, the system reduces critical response time while maintaining continuous monitoring capability.
Solution Approach 2:
The system focuses processing on identifying non-overlapping regions between trajectory points and light data, performing partial analysis rather than complete environmental reconstruction. This selective processing of critical information reduces overall data processing time while maintaining safety monitoring effectiveness.
3Measurement precision
If the system identifies non-overlapping regions accurately, then the measurement precision is improved, but the device complexity increases due to frame of reference generation
Solution Approach 1:
The computer system segments the complex task of lens coverage monitoring into distinct processing steps: obtaining trajectory data, obtaining light data, generating frame of reference, identifying non-overlapping regions, and determining lens coverage conditions. This segmentation allows each subsystem to specialize in one function, improving measurement precision while managing overall system complexity through modular architecture.
Solution Approach 2:
The system transforms the lens coverage problem from direct spatial analysis into a frame of reference dimension. By projecting trajectory points and light data into a common frame of reference, the system enables accurate comparison and identification of non-overlapping regions through coordinate transformation rather than complex geometric analysis.
Data Source
AI summary
A computer system including processing circuitry configured to obtain light data from a light-based scanning device; obtain trajectory data of an upcoming trajectory of a vehicle; generate a frame of reference for the light-based scanning device, the frame of reference indicating positional relationships of a plurality of light points based on the light data and a plurality of trajectory points based on the trajectory data; for one or more given trajectory points, identify a non-overlapping region in the frame of reference where no light points are collocated at the one or more given trajectory points; and determine the lens coverage condition based on a position of the vehicle in relation to the identified non-overlapping region.