Omnidirectional Sensor Fusion for Overlapping Vehicle Sensing Zones
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional sensor fusion methods in vehicle collision prevention systems incur errors in lateral and longitudinal positions and speed when performing sensor fusion across overlapping sensing regions, leading to inaccurate recognition of nearby vehicles and potential false alerts or actions in advanced driver assistance systems.
Innovation Solution
An omnidirectional sensor fusion system that includes a sensor track processing unit, a sensor track association determination unit, a sensor fusion track tracing unit, and a sensor fusion track maintenance unit, which generates a sensor fusion track by associating sensor tracks at overlapping points of sensing regions, adjusting sensor track information based on determined associations, and maintaining the traced fusion track to enhance reliability and robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If sensor fusion is performed across overlapping sensing regions using conventional methods, then the coverage area is increased, but position and speed accuracy deteriorates due to errors in lateral and longitudinal positions
Solution Approach 1:
The patent segments the sensing region into overlapping zones and processes sensor tracks differently based on their location. Tracks in overlapping regions are identified and handled separately from tracks in non-overlapping regions, allowing precise position calculation by selecting appropriate sensor data sources and avoiding erroneous fusion calculations that would degrade accuracy.
Solution Approach 2:
The patent applies local quality by using different sensor fusion strategies for different spatial zones. In overlapping sensing regions, the system selectively processes tracks based on their specific location and characteristics, whereas non-overlapping regions use standard fusion methods. This localized approach maintains high measurement precision across the entire sensing area despite the complexity of overlapping zones.
2Reliability
If multiple sensor tracks are fused in overlapping regions, then the detection capability is enhanced, but reliability decreases due to sudden variations in position, speed, and acceleration
Solution Approach 1:
The patent performs preliminary identification of sensor tracks located in overlapping sensing regions before executing the fusion process. By pre-classifying tracks based on their spatial location and characteristics, the system can apply appropriate fusion strategies and filtering mechanisms to prevent sudden variations in the output data, thereby maintaining reliability while still utilizing multiple sensor inputs.
Solution Approach 2:
The patent implements feedback mechanisms that monitor the fused track outputs for sudden variations in position, speed, and acceleration. When such variations are detected, the system adjusts the fusion process by re-evaluating the input tracks and applying corrective processing, ensuring that the final output remains reliable and free from harmful artifacts caused by improper fusion in overlapping regions.
3Device complexity
If sensor fusion is performed without considering overlapping regions, then the processing complexity is reduced, but recognition accuracy deteriorates leading to false alerts or actions
Solution Approach 1:
The patent segments the sensor track processing into distinct pathways: one for tracks in overlapping regions and another for tracks in non-overlapping regions. This segmentation adds minimal processing complexity by using simple spatial classification but significantly improves recognition accuracy by preventing false fusion operations that would otherwise lead to incorrect vehicle detection and false alerts.
Data Source
AI summary
The present disclosure relates to an omnidirectional sensor fusion system and method and a vehicle including the same. The omnidirectional sensor fusion system includes a sensor track processing unit configured to receive recognition information from one or more sensors to generate a sensor track, a sensor track association determination unit configured to determine, based on the generated sensor track being located at an overlapping point of sensing regions of the one or more sensors, an association between a previous sensor fusion track and the sensor track, the sensor track association determination unit further configured to change sensor track information in response to the determined association and output a sensor fusion track, a sensor fusion track tracing unit configured to trace the output sensor fusion track, and a sensor fusion track maintenance unit configured to maintain the traced sensor fusion track.