Driving Support System Object Identity Verification
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Solution Overview
Problem
Existing driving support systems may incorrectly identify different vehicles as the same based on overlapping vectors, leading to inappropriate driving support, such as following a vehicle farther away than intended, which can hinder effective support.
Innovation Solution
A driving support system that includes an object detection sensor, a communication unit, a direction determining unit, and an identity determining unit to accurately determine the direction and identity of objects, using both visual and communication-based data to ensure precise identification and support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicle identification is based on overlapping vectors from periphery monitoring and inter-vehicle communication, then driving support can be provided using communication data, but different vehicles may be incorrectly identified as the same vehicle leading to inappropriate driving support
Solution Approach 1:
The identification process is segmented into multiple independent verification steps: first checking directional alignment between sensors, then verifying angular width overlap, and finally confirming vehicle type match. This multi-stage segmentation ensures that each aspect of vehicle identity is verified separately, preventing incorrect identification while maintaining efficient driving support.
2Measurement precision
If the system uses both object detection sensor and communication unit data, then identification precision can be improved, but system complexity increases
Solution Approach 1:
The system merges data from the object detection sensor (first sensor) and communication unit (second sensor) by checking if their detected directions overlap and if their angular widths overlap. This merging of multiple data sources improves identification precision while the unified judgment process manages system complexity.
Solution Approach 2:
The judgment unit performs multiple functions using the same sensor data: it determines direction, calculates angular width, compares vehicle types, and makes identification decisions. This multi-functionality approach improves measurement precision without proportionally increasing device complexity.
Data Source
AI summary
A driving support system mountable to an own vehicle includes an object detection sensor detecting a first object, a communication unit performing communication with a second object around the own vehicle, a direction determining unit determining whether a first direction from the own vehicle to the first object is the same as a second direction from the own vehicle to the second object with which the communication unit performs communication, an identity determining unit determining whether the first object is identical with the second object based on information acquired by the object detection sensor and the communication unit when the first direction is the same as the second direction, and a driving supporting unit performing driving support based on information acquired from an object determined in advance between the first object and the second object when it is determined that the first object is identical with the second object.