Adaptive TOF Object Detection Device for Data Bus Management
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Solution Overview
Problem
In traveling support systems, excessive road surface information can overwhelm the transmission capabilities of data buses, leading to ineffective use of TOF-based object detection data.
Innovation Solution
An object detection device that acquires target and road surface information using threshold values, with a setting unit adjusting the road surface threshold value to ensure the amount of distance information within a predetermined period does not exceed the data bus's transmission capability, allowing for efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If road surface information is acquired continuously with a low threshold value to improve detection sensitivity, then measurement precision is improved, but the amount of data exceeds transmission capability causing loss of information
Solution Approach 1:
The patent dynamically changes the threshold value parameter based on detection results. When an object is detected, the threshold is lowered to improve sensitivity; when no object is detected, the threshold is raised to reduce data volume. This resolves the contradiction by making the threshold adaptive rather than fixed, allowing high sensitivity only when necessary.
Solution Approach 2:
The system transitions from a static threshold value to a dynamic threshold value that changes over time based on detection state. The threshold is automatically adjusted between a first value (higher) and second value (lower) depending on whether an object is detected, enabling the system to adapt its data acquisition intensity to actual needs.
2Measurement precision
If a low threshold value is used to acquire more road surface information, then measurement precision is improved, but device complexity increases due to handling excessive data
Solution Approach 1:
By dynamically changing the threshold value parameter, the system avoids continuously acquiring excessive data. The threshold adjusts between two values based on detection state, simplifying data processing requirements while maintaining high detection sensitivity when objects are present.
3Loss of information
If a high threshold value is used to reduce data amount, then loss of information is prevented, but measurement precision deteriorates
Solution Approach 1:
The system uses a dynamic threshold that switches between a first value (higher for data reduction) and second value (lower for high sensitivity) based on whether objects are detected. This temporal variation in threshold value allows the system to optimize for data efficiency during normal operation and for detection sensitivity when objects are present.
Solution Approach 2:
The threshold value undergoes periodic or event-driven changes based on detection cycles. The system evaluates detection results and adjusts the threshold accordingly, creating a rhythm of threshold adjustment that balances data transmission efficiency with detection sensitivity over time.
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
This approach effectively matches the amount of road surface information with the data bus's transmission capability, ensuring the information is used appropriately and reducing noise interference.
Implementation Method 1
a device that detects an object existing around the vehicle by a TOF (Time Of Flight) method... on the basis of time until a transmission wave (an ultrasonic wave, an electromagnetic wave, or the like) transmitted to the object is reflected by the object and returned
Implementation Method 2
The TOF method is a method of detecting existence or nonexistence of an object, a distance to the object, and the like on the basis of time until a transmission wave... is reflected by the object and returned
Data Source
AI summary
An object detection device that detects an object existing around a moving body moving on a road surface by a TOF method, the object detection device includes: a first acquisition unit that acquires target information including distance information of a detection target on the basis of a comparison result between a signal level of a reflected wave and a first threshold value; a second acquisition unit that acquires road surface information including distance information of the road surface on the basis of a comparison result between the signal level of the reflected wave and a second threshold value; and a setting unit that sets the second threshold value so that an amount of the distance information acquired within a predetermined period does not exceed a predetermined amount.