Object Motion Direction Detection With Coordinate-Based ADAS Alerts
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Solution Overview
Problem
Existing advanced driver assistance systems (ADAS) face challenges in efficiently identifying the direction of movement of external objects to prevent collisions, requiring methods to reduce data load and enhance calculation speed for effective collision prevention.
Innovation Solution
An electronic device equipped with an image sensor, CPU, and NPU executes an object detection model to identify external objects, obtains coordinate values, and performs direction identification models to determine the movement direction and distance, outputting notifications for collision prevention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional object detection methods are used to identify external objects and their movement direction, then the system can detect objects, but the calculation speed is slow and data load is high
Solution Approach 1:
The patent segments the object detection and movement direction identification into separate processing stages. The object detection model first identifies external objects and their coordinates, then a separate movement direction identification model analyzes the coordinate changes over time. This segmentation allows each model to be optimized independently, reducing overall computational complexity and data processing requirements.
Solution Approach 2:
The patent extracts only the essential coordinate information from the object detection output, rather than processing complete image data. By taking out just the relevant coordinate values needed for movement direction calculation, the system significantly reduces data load while maintaining calculation speed for determining object movement patterns.
2Measurement precision
If comprehensive object detection is performed to ensure accurate collision prevention, then detection accuracy is improved, but the processing time increases
Solution Approach 1:
The patent performs preliminary object detection to identify external objects and their initial coordinates before conducting the movement direction analysis. By preparing the coordinate data in advance and separating the detection phase from the analysis phase, the system reduces overall processing time while maintaining detection accuracy through the use of specialized models for each task.
Solution Approach 2:
The patent introduces coordinate values as an intermediary between object detection and movement direction identification. Instead of directly analyzing complete image data for movement detection, the system uses extracted coordinate information as a mediator, which reduces processing time while preserving the accuracy needed for collision prevention decisions.
Data Source
AI summary
An electronic device includes an image sensor, a CPU, an NPU, and memory including one or more storage media storing instructions. The instructions, when executed by the CPU, cause the electronic device to obtain, via the image sensor, an image, execute an object detection model configured to detect an external object from the image, by controlling the NPU, obtain, from the NPU, coordinate values indicating a portion of the image associated with the external object, perform a plurality of calculations defining a direction identification model configured to identify a direction of movement of the external object based on the coordinate values, by controlling processing circuitry of the CPU, and based on a direction of movement of the external object indicated by a result of the plurality of calculations, output a notification with respect to the direction of movement.