Sensor Data Comparison for Abnormality Detection in Automated Driving
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing traffic systems using sensors face challenges in handling differences in detection results across various situations, lacking a comprehensive technique for sensor data integration and abnormality detection.
Innovation Solution
An information processing apparatus and method that detects first information from onboard sensors and acquires second information from external sensors, allowing for comparison and processing to determine sensor abnormalities, share sensor data, and perform calibration or notification for improved accuracy and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data from multiple sources is integrated to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces an abnormality determination section that acts as an intermediary between multiple sensor systems. This section compares detection results from different sensors (e.g., onboard sensors and external apparatus sensors) to identify abnormalities, thereby enabling accurate sensor integration without directly managing the complexity of multiple sensor sources. The intermediary processes and validates data before integration, improving measurement precision while containing system complexity.
2Reliability
If sensor abnormalities are detected through comparison with external apparatus to improve reliability, then reliability is improved, but loss of time increases due to additional processing
Solution Approach 1:
The patent implements preliminary action by continuously acquiring and comparing sensor data in the background before critical failures occur. The abnormality determination section performs ongoing comparisons between onboard sensor data and external apparatus data, establishing a baseline of normal operation. This allows the system to quickly identify deviations without requiring extensive processing time when abnormalities are detected, thereby improving reliability while minimizing time loss.
3Reliability
If comprehensive sensor data sharing is implemented to enhance safety, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the sensor data sharing system into distinct functional modules: a detection section for collecting sensor data, an acquisition section for obtaining external apparatus data, and an abnormality determination section for comparing and validating data. This modular segmentation allows comprehensive sensor data sharing to enhance safety while managing complexity through organized, separated functions rather than a monolithic complex system.
Data Source
AI summary
The object is to provide an information processing apparatus, an information processing method, and a program capable of appropriately handling a difference between detection results of sensors. The solution is an information processing apparatus including: a detection section configured to detect first information regarding a mobile object; an acquisition section configured to acquire second information regarding the mobile object, the second information being detected by an external apparatus; and a control section configured to control processing based on a comparison result of the first information and the second information detected for the same mobile object.