Vehicle Travel Path Sensing Switch for Tunnel Brightness Changes
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Solution Overview
Problem
Advanced driver assistance systems face challenges in accurately detecting obstacles and road conditions when in-vehicle sensors, particularly image sensors, experience reduced accuracy due to rapid changes in brightness, such as when a vehicle enters a tunnel, leading to potential accidents.
Innovation Solution
An information processing apparatus that utilizes a processor and memory to obtain sensing results from both internal and external sensors, determining the state of the vehicle and switching to external sensing results when internal results are of low quality, ensuring accurate travel assistance by comparing image data with predetermined criteria and adjusting accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle enters a tunnel with rapid brightness change, then the image sensor experiences delayed sensitivity adjustment, but the sensing accuracy of the path of travel deteriorates
Solution Approach 1:
The system performs preliminary detection of brightness changes using the image sensor before the sensor's sensitivity adjustment completes. When a rapid brightness change is detected (indicating tunnel entry), the system proactively switches to radar sensor data for obstacle detection, preventing the period of low sensing accuracy that would otherwise occur during the sensor's adaptation phase.
Solution Approach 2:
The system introduces radar sensor data as an intermediary source for obstacle detection information. When the image sensor's sensing accuracy deteriorates due to rapid brightness changes, the radar sensor serves as a mediator to provide reliable path of travel information, ensuring continuous accurate detection without depending on the adapting image sensor.
2Device complexity
If the system relies solely on in-vehicle sensors for obstacle detection, then the device complexity is reduced, but the reliability of travel assistance deteriorates in adverse lighting conditions
Solution Approach 1:
The system merges data from multiple sensor types (image sensor and radar sensor) into a unified obstacle detection system. The processor integrates information from both sensors, selecting or combining their outputs based on current conditions, thereby achieving high reliability through sensor fusion rather than relying on a single sensor system.
Solution Approach 2:
The system dynamically switches between or combines sensor data sources based on real-time conditions. When rapid brightness changes are detected, the system transitions from relying primarily on image sensor data to incorporating radar sensor data, making the sensor selection adaptive and dynamic rather than static, thereby maintaining reliability across varying environmental conditions.
Data Source
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Figure 3A~3C
AI summary
An information processing apparatus of a vehicle obtains a sensing result from a sensor that senses the path of travel, and receives a result of sensing the path of travel of the vehicle from an external device such as another vehicle. It is determined whether the state of the vehicle at a specific point in time is a first state in which the sensing result obtained from the sensor meets a predetermined condition. If the state of the vehicle is determined to be the first state, first information for controlling the movement of the vehicle is generated based on the sensing result obtained from the sensor. If the state of the vehicle is determined not to be the first state, the first information is generated based on the sensing result received from the external device. Then, the first information is output.