Sensor Guide Rail for Autonomous Vehicle Data Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional autonomous vehicle sensor systems collect and process excessive sensor data from all directions, placing a significant computational burden on the vehicle's systems, as they continuously gather data regardless of the vehicle's behavior or path.
Innovation Solution
A sensor guide rail system that selectively captures and filters sensor data by identifying regions of interest based on the vehicle's position, path, and speed, allowing sensors to focus on capturing data only from relevant areas and transmitting filtered data to the central computing system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor systems continuously collect sensor data from all around the autonomous vehicle, then complete environmental awareness is achieved, but computational burden increases significantly
Solution Approach 1:
The sensor system divides the environment into multiple regions of interest (ROIs) based on vehicle behavior and path. Sensors selectively capture data only from these segmented regions rather than continuously scanning all directions, reducing computational burden while maintaining awareness of critical areas.
Solution Approach 2:
The system dynamically adjusts sensor capture regions based on real-time vehicle parameters such as position, path, and speed. The regions of interest are not static but change according to vehicle behavior, allowing the system to focus computational resources on relevant areas only.
2Loss of information
If sensors capture data from all regions continuously, then no data is missed, but data transmission and processing volume increases
Solution Approach 1:
The system extracts and isolates only the relevant portions of sensor data corresponding to regions of interest. By taking out only the necessary data elements and discarding redundant information from non-critical regions, the system maintains data completeness for decision-making while significantly reducing overall data volume.
Solution Approach 2:
Instead of capturing complete 360-degree data continuously, the system applies partial action by selectively capturing data only from specific regions of interest. This partial coverage is sufficient for autonomous navigation decisions while avoiding the excessive data generation of full-spectrum continuous scanning.
3Measurement precision
If the central computing system processes all sensor data, then comprehensive analysis is achieved, but processing time and energy consumption increase
Solution Approach 1:
The system performs preliminary filtering and region identification before data reaches the central computing system. By pre-processing sensor data to identify and isolate regions of interest based on vehicle parameters, the system reduces the burden on the central computing system, allowing it to focus computational energy on analyzing only relevant data.
4Reliability
If sensors monitor all directions continuously, then safety is maximized, but system efficiency decreases
Solution Approach 1:
The system applies different monitoring qualities to different spatial regions. Regions of interest receive high-quality, continuous sensor attention while other regions receive reduced or periodic monitoring. This local differentiation maintains safety in critical areas while improving overall system efficiency by avoiding uniform high-intensity monitoring everywhere.
Data Source
AI summary
Obtaining one or more parameters of an autonomous vehicle, the parameters including any of a position, path, and/or speed of the autonomous vehicle. A region of interest from a plurality of regions surrounding the autonomous vehicle is identified based on the one or more parameters. One or more sensors mounted on a sensor guide rail are controlled, based on the region of interest, to move the sensor(s) along at least a portion of the autonomous vehicle, and to capture sensor data of the region of interest and not capture sensor data from the one or more other regions of the plurality of regions surrounding the autonomous vehicle, the sensor guide rail being mounted on a surface of the autonomous vehicle. The captured sensor data is provided to a processor capable of facilitating, based on the captured sensor data of the region of interest, one or more autonomous vehicle driving actions.