Adjustable Roadside Camera View for Occluded Obstacle Detection
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Solution Overview
Problem
Existing advanced driver assistance systems (ADAS) struggle to effectively recognize and respond to sudden obstacles, such as people, bicycles, and pets, especially when the view is blocked by parked or stopped vehicles, and they have limitations in child protection areas.
Innovation Solution
An infrastructure and vehicle system that uses a camera with adjustable height and length, and a processor to recognize road areas and obstacles, adjust the camera's field of view, and transmit image information to vehicles for collision avoidance, collision notification, and autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed camera is used for road monitoring, then the device structure is simple, but the field of view cannot be adjusted to overcome obstacles blocking the view
Solution Approach 1:
The patent applies dynamics by making the camera adjustable in height and horizontal angle through motorized mechanisms. The camera can dynamically change its positioning and orientation to overcome obstacles blocking the field of view, transforming from a static to a dynamic system that adapts to varying road conditions and obstacle positions.
2Area of stationary object
If the camera photographing area is continuously adjusted to maximize coverage, then the road environment recognition is improved, but the camera may miss important details in specific areas
Solution Approach 1:
The system employs periodic action by automatically adjusting the camera photographing area at predetermined time intervals. The processor controls the camera to capture images at different positions and angles periodically, ensuring comprehensive coverage while maintaining the ability to focus on specific areas of interest when needed.
3Adaptability or versatility
If the camera height and length are adjusted to overcome obstacles, then the field of view is improved, but the adjustment time and energy consumption increase
Solution Approach 1:
The system applies preliminary action by pre-establishing multiple photographing areas with different camera positions and angles. When an obstacle is detected or is predicted to occur, the processor can quickly switch to a pre-configured photographing area that provides an unobstructed view, avoiding the need for time-consuming real-time adjustments.
Data Source
AI summary
Provided is an infrastructure and a vehicle for communicating with the same. The infrastructure recognizes a first area and a second area, and when a proportion of the second area of the image information is greater than or equal to a reference proportion, controls first and second adjusters to change a photographing area of a camera. The vehicle recognizes a hidden area, when a proportion of the hidden area is greater than or equal to a reference proportion, transmits an adjustment command of the first camera to the infrastructure, and when the proportion of the hidden area is less than the reference proportion. The vehicle matches an image of the hidden area to second image information of the second camera to generate a top view image.