Vehicle Sensor Processing Switch for Adverse Weather Detection
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Solution Overview
Problem
Noise in detection results from sensors such as LiDAR and radar increases with changes in surrounding conditions, leading to erroneous object detection and inadequate vehicle control.
Innovation Solution
A controller that acquires detection results from multiple sensors, switches between different processing methods based on driver input, and performs filtering to reduce noise in point cloud data, allowing for accurate object detection and vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the same process is always performed on the detection results of the sensors, then the processing is simple and consistent, but noise in the detection results increases with changes in surrounding conditions and causes erroneous detection of objects
Solution Approach 1:
The patent implements dynamic processing by switching between a first process and a second process based on surrounding conditions. The controller dynamically selects which processing method to apply depending on whether the vehicle is in normal conditions or adverse weather conditions, making the processing adaptive rather than static.
Solution Approach 2:
The patent changes processing parameters based on environmental conditions. When adverse weather is detected, the system switches to a second process with different processing parameters compared to the first process used in normal conditions, thereby optimizing detection accuracy for different scenarios.
2Measurement precision
If different processing methods are used to reduce noise in different conditions, then detection accuracy improves, but the system complexity increases due to multiple processing modes
Solution Approach 1:
The system dynamically switches between processing modes based on detected surrounding conditions. The controller monitors environmental factors and automatically selects the appropriate processing method (first or second process) to maintain high detection precision without requiring manual intervention.
Solution Approach 2:
The system performs self-adjustment by automatically selecting the appropriate processing method based on detected conditions. The controller autonomously determines when to switch between processing modes without external input, making the system self-adapting to environmental changes.
3Reliability
If noise reduction processing is applied, then erroneous detection is reduced, but processing time and computational load increase
Solution Approach 1:
The patent applies noise reduction processing selectively rather than continuously. The second process with enhanced noise reduction is applied only when adverse weather conditions are detected, while the first process is used in normal conditions, thereby balancing reliability improvement with processing efficiency.
Data Source
AI summary
A controller includes: an acquisition part that acquires a detection result from a first sensor that is mounted on a vehicle and detects conditions of surroundings of the vehicle; a processing part that performs a first process or a second process, which is different from the first process, on the acquired detection result; a vehicle control part that controls the vehicle on the basis of a processing result of the processing part; and a receiving part that receives a processing operation related to processing of the detection result by a driver of the vehicle. When the receiving part receives the processing operation, the processing part switches between the first process and the second process.