Vehicle Periphery Monitoring With Pre-Stop Object Prediction
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Solution Overview
Problem
Existing vehicle periphery monitoring systems are limited in detection range since images are captured only after the vehicle has come to a stop, reducing the accuracy of object detection and information provision to users.
Innovation Solution
Detect objects in the vehicle periphery before the vehicle stops at a stop location by using a combination of sensors and predictive algorithms to determine if they will enter a monitoring region, and transmit relevant information to an information providing device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If images are captured by the image-capturing unit after the vehicle has come to a stop, then the system can process and analyze images more easily, but the detection range of the target object is limited
Solution Approach 1:
The patent applies preliminary action by detecting objects in the vehicle periphery before the vehicle stops at a stop location. The object detection device captures images and detects objects while the vehicle is still moving, allowing the system to identify objects earlier and determine their potential entry into the monitoring region around the stop location, thereby expanding the detection range beyond what is possible with post-stop detection only
Solution Approach 2:
The patent implements dynamics by transitioning from a static detection approach (capturing images only after the vehicle stops) to a dynamic detection approach (capturing images continuously while the vehicle is moving). This allows the system to track object movement in real-time and predict whether objects will enter the monitoring region, significantly increasing the detection range and accuracy
2Measurement precision
If objects are detected only after the vehicle stops, then the system complexity is reduced, but the accuracy of information provided to the user decreases
Solution Approach 1:
The system performs preliminary object detection and movement analysis before the vehicle reaches the stop location. By detecting objects earlier and analyzing their movement trajectories in advance, the system can determine with higher accuracy whether objects will enter the monitoring region around the stop location, thereby improving measurement precision without requiring complex real-time processing at the moment of stopping
Solution Approach 2:
The patent implements feedback by continuously monitoring object positions and movements, then using this information to update predictions about whether objects will enter the monitoring region. The system processes object detection data, analyzes movement patterns, and provides feedback on potential safety risks, thereby improving detection accuracy through iterative analysis rather than relying solely on complex hardware
Data Source
AI summary
A vehicle system includes an information providing device, an information collection device, a communication device and a controller. The information providing device provides information to a user of a vehicle about an object that is located in a periphery of the vehicle. The information collection device collects information data related to the object located in the periphery of the vehicle. The communication device communicates with the information collection device and the information providing device. The controller controls the communication device. The controller determines a possibility that an object will enter a monitoring region around the periphery of the vehicle in a case where the vehicle stops at a stop location, and upon determining there is a possibility that the object will enter the monitoring region, information data related to the object is transmitted to an information providing device.