Stationary Camera Object Localization for Vehicle Collision Avoidance
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Solution Overview
Problem
Current vehicle collision avoidance systems face challenges in identifying collision risk objects, especially those that do not broadcast messages, and rely on expensive and difficult-to-implement technologies.
Innovation Solution
A system utilizing a stationary camera to determine location coordinates of objects in its field of view by associating visual features with projection points, adjusting for camera movement, and operating vehicles based on detected object coordinates to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle sensor data and broadcast messages are used to identify collision risk objects, then collision avoidance capability is improved, but certain objects that do not broadcast messages cannot be identified
Solution Approach 1:
The system divides the detection task into two segments: using broadcast messages for identified vehicles and using camera imaging for unidentified objects. This segmentation allows the system to handle different types of objects with appropriate methods, resolving the contradiction between relying on broadcast messages and detecting all collision risks.
Solution Approach 2:
The camera acts as an intermediary device that bridges the gap between objects that do not broadcast messages and the vehicle's collision avoidance system. By capturing images and determining object coordinates through image processing, the camera enables detection of previously undetectable objects.
2Measurement precision
If expensive and difficult-to-implement technologies are used for collision avoidance, then detection accuracy is improved, but system cost and implementation difficulty increase
Solution Approach 1:
The camera serves multiple functions: it captures images for object detection, provides coordinates for object location determination, and enables collision risk assessment. This multi-functionality eliminates the need for separate expensive detection systems while maintaining measurement precision.
Solution Approach 2:
Instead of using complex direct detection systems, the system uses camera images as a copy or representation of the physical scene. By processing image data and deriving object coordinates from the captured visual information, the system achieves accurate detection with simpler, more cost-effective equipment.
Data Source
AI summary
A system includes a processor and a memory. The memory stores instructions executable by the processor to receive an image from a stationary camera. The memory stores instructions to determine location coordinates of an object identified in the image based on location coordinates specified for the image. The memory stores instructions to operate a vehicle based on the object location coordinates.