Vehicle Surrounding Situation Recognizing Device Switches to Camera After Collision
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Solution Overview
Problem
Existing vehicle surrounding situation recognition systems face accuracy deterioration after a primary collision, particularly due to potential damage to radar systems, which can impair the recognition of the vehicle's surroundings and increase the risk of secondary collisions.
Innovation Solution
A vehicle surrounding situation recognizing device that switches to using image information from a camera mounted inside the vehicle for recognizing the situation in front, instead of radar information, when a collision is detected, to maintain recognition accuracy and prevent secondary collision damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar information is used for recognizing the situation in front of the vehicle, then recognition accuracy is improved under normal conditions, but recognition accuracy deteriorates after primary collision due to potential radar damage
Solution Approach 1:
The system changes the data source parameter from radar information to image information based on collision detection status. When collision is detected, the recognizing means switches to using image information from the image generating means instead of radar information, thereby adapting the system parameters to maintain reliability under changed conditions
Solution Approach 2:
The system dynamically switches between different information sources (radar and image) based on real-time collision detection status. The recognizing means can adaptively select the appropriate data source, making the system flexible and responsive to changing operational conditions after collision
2Measurement precision
If multiple recognition means (radar and image generating means) are equipped in the vehicle, then recognition accuracy is improved through multiple data sources, but device complexity increases
Solution Approach 1:
The recognizing means is designed to handle multiple types of input data (both radar information and image information) and can selectively process either source based on conditions. This multi-functionality allows the system to use diverse data sources without requiring separate dedicated processing paths for each source
Solution Approach 2:
The system merges the radar information processing path and image information processing path into a single recognizing means that can handle both data types. By combining the processing functionality in one unit rather than maintaining separate independent systems, the overall device complexity is reduced while still benefiting from multiple data sources
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 inhibits the deterioration of forward recognition accuracy after a primary collision by relying on the camera's image information, which is less likely to be damaged, thereby reducing the risk and damage from secondary collisions through accurate control and braking systems.
Implementation Method 1
a radar (9) mounted on a front part of the vehicle and configured to transmit an electromagnetic wave forward of the vehicle, receive a reflective wave of the electromagnetic wave to detect a situation in front of the vehicle
Data Source
AI summary
A vehicle system includes a radar mounted on a front part of a vehicle, a camera mounted within a vehicle interior of the vehicle, and an electronic control unit (ECU). The ECU is configured to detect an object in front of the vehicle based on radar information from the radar and image information from the camera. The ECU is configured to detect a collision of the vehicle with an obstacle based on a frontal collision signal. The ECU is configured to detect the object using the image information, without using the radar information, after detecting the collision.