Roadside Camera Adjustment for Hidden-Area Vehicle Communication
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Solution Overview
Problem
Existing advanced driver assistance systems (ADAS) struggle to effectively handle sudden obstacles, such as people, bicycles, and pets, when the view is blocked by vehicles parked around the road, and have limitations in child protection areas, with collision avoidance technologies only reacting after a risk situation occurs.
Innovation Solution
An infrastructure system with adjustable cameras that can divide road areas into secured and obstructed views, adjusting height and angle to capture a wider field of view, and a vehicle system that communicates with this infrastructure to manage camera adjustments and generate top-view images for hidden areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a fixed camera is used to monitor the road area, then the device complexity is reduced, but the field of view remains obstructed when obstacles block the camera view
Solution Approach 1:
The patent applies dynamics by making the camera adjustable rather than fixed. The camera can change its photographing area by adjusting its position and angle, allowing it to adapt when obstacles block the view. This dynamic adjustment capability resolves the contradiction between maintaining a clear field of view and avoiding complex adjustment mechanisms.
Solution Approach 2:
The patent segments the road area into a first area (secured field of view) and a second area (obstructed field of view). By dividing the monitoring area and selectively adjusting the camera to capture different regions based on obstacle detection, the system maintains simplicity while ensuring comprehensive coverage when needed.
2Area of stationary object
If the camera photographing area is adjusted frequently to capture obstructed areas, then the field of view coverage is improved, but the loss of time for adjustment increases
Solution Approach 1:
The system performs preliminary action by pre-dividing the road area into secured and obstructed zones. When an obstacle is detected, the camera is adjusted only to the extent necessary to capture the obstructed area, rather than performing frequent or excessive adjustments. This reduces adjustment time while maintaining adequate coverage.
Solution Approach 2:
The patent applies partial action by adjusting the camera only to the degree necessary to capture the obstructed second area, not to reposition the entire camera system excessively. This partial adjustment minimizes time loss while achieving the goal of capturing previously obstructed regions.
3Reliability
If existing ADAS collision avoidance technology is used, then the system complexity is kept simple, but the response time is delayed until after a risk situation occurs
Solution Approach 1:
The infrastructure performs preliminary action by continuously monitoring and identifying potential risk areas (second areas where obstacles may be present) before actual collision risks materialize. This advance identification allows vehicles to prepare for potential hazards, improving reliability while reducing the time delay compared to reactive ADAS systems.
Solution Approach 2:
The system uses feedback by transmitting information about identified risk areas and obstructed regions to vehicles in real-time. This continuous feedback loop enables vehicles to adjust their behavior proactively based on infrastructure observations, improving collision avoidance reliability without the time delays inherent in vehicle-only sensor systems.
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.