Vehicle Obstacle Determination via Propagation Path Difference
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Solution Overview
Problem
Existing obstacle detection systems for vehicles face challenges in accurately determining obstacles, often leading to erroneous classifications, such as identifying non-colliding objects like beams as obstacles, which can result in unnecessary safety controls and affect vehicle travel.
Innovation Solution
An obstacle determination apparatus that uses a first and second determiner to calculate the difference in propagation distance or time between a first round-trip and second round-trip paths of detection waves, with the second determiner determining whether the object is an obstacle based on the difference, thereby improving accuracy by distinguishing between collision-causing and non-causing objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional obstacle detection systems use single-detector reflection intensity measurement, then the system structure is simple, but the determination accuracy of obstacles deteriorates leading to erroneous classifications
Solution Approach 1:
The detection system is segmented into multiple independent detectors (first detector and second detector) positioned at different locations. Each detector independently measures reflection intensity, and the results are combined through logical operations to determine obstacle presence. This segmentation enables more accurate obstacle determination by cross-validating measurements from multiple positions, thereby resolving the contradiction between simple structure and accurate determination.
Solution Approach 2:
The system transitions from single-point detection to multi-point spatial detection by positioning detectors at different locations (first position and second position). This adds a spatial dimension to the detection process, allowing the system to analyze reflection intensity patterns across multiple positions to distinguish true obstacles from false detections, thus improving determination accuracy without excessive complexity.
2Reliability
If the system uses multiple detectors at different positions to improve determination accuracy, then obstacle classification accuracy improves, but the complexity of data processing increases
Solution Approach 1:
The system employs feedback mechanisms where the determination results from the first and second detectors are continuously compared and validated. The logical combination of detection results provides feedback that confirms or refutes obstacle classifications, improving reliability by cross-validating measurements and eliminating erroneous determinations through iterative verification.
Solution Approach 2:
The system changes the parameter being measured from single-point reflection intensity to multi-point reflection intensity patterns. By analyzing the spatial distribution of reflection intensity across multiple detectors, the system achieves more reliable obstacle classification while managing processing complexity through structured comparison protocols.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances obstacle determination accuracy, reducing erroneous safety controls and improving vehicle travel by accurately identifying obstacles and non-obstacles, thus preventing unnecessary limit controls.
Implementation Method 1
transmitting a detection wave for detecting an object, and receiving a first reflection wave resulting from the transmitted detection wave being reflected from the object
Implementation Method 2
a first determiner determining a difference in a propagation distance or a propagation time between a first round-trip path of a detection wave between a first position of a moving body and an object, and a second round-trip path of a detection wave from the first position to a second position of the moving body via the object
Data Source
AI summary
Provided is an obstacle determination apparatus including: a first determiner determining a difference in a propagation distance or a propagation time between a first round-trip path of a detection wave and a second round-trip path of a detection wave; and a second determiner determining whether the object is an obstacle based on a determination result of the first determiner.