Sensor Fusion Circuit for Vehicle Obstacle Detection
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Solution Overview
Problem
Conventional technologies for calculating obstacle presence probability around a vehicle are insufficient in reliability, particularly in areas where positional information is not acquired, leading to blind spots and inaccurate obstacle detection.
Innovation Solution
An information processing apparatus that calculates a first presence probability using positional information from multiple sensors and determines a second presence probability based on non-measurement information, integrating data from Lidar and millimeter wave radar sensors to enhance reliability and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional single-sensor or simple probability calculation methods are used, then the calculation process is simple, but the reliability of obstacle presence probability is insufficient
Solution Approach 1:
The patent combines data from multiple sensors (Lidar and millimeter wave radar) to calculate obstacle presence probability. The processing circuit integrates positional information from both sensors, allowing the system to cross-validate measurements and fill in gaps where one sensor may not have detected an object, thereby significantly improving reliability while managing complexity through systematic data fusion
Solution Approach 2:
The patent introduces a processing circuit as an intermediary that mediates between raw sensor data and final obstacle probability determination. This intermediary component performs sophisticated calculations including comparing detection results, identifying blind spots, and computing probability values, thereby isolating the complexity from the sensors themselves and providing a reliable output
2Measurement precision
If positional information is not acquired in certain areas, then the sensor coverage is limited, but the obstacle presence probability calculation becomes unreliable in blind spots
Solution Approach 1:
The patent implements a feedback mechanism where the processing circuit continuously monitors detection results from both sensors, identifies areas where positional information is missing (blind spots), and uses the other sensor's data to compensate. The system calculates obstacle presence probability by comparing detection states across sensors, providing feedback that improves detection accuracy in previously blind areas
Solution Approach 2:
The patent applies partial action by using only the necessary sensor data from each sensor rather than requiring complete coverage from a single sensor. When one sensor fails to detect in a particular area, the system partially uses data from the other sensor to calculate probability, thereby achieving accurate detection without requiring excessive sensor coverage from individual components
Data Source
AI summary
An information processing apparatus according to one embodiment includes a processing circuit. The processing circuit calculates a first presence probability of an object present around a moving body with positional information measured by each of a plurality of sensors having different characteristics, acquires non-measurement information indicating that the positional information on the object has not been obtained for each of the sensors, and determines a second presence probability of the object based on the first presence probability and the non-measurement information.