Hyundai motor company (20240193811). VEHICLE LOCATION CALCULATION APPARATUS AND VEHICLE LOCATION CALCULATION METHOD simplified abstract
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VEHICLE LOCATION CALCULATION APPARATUS AND VEHICLE LOCATION CALCULATION METHOD
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VEHICLE LOCATION CALCULATION APPARATUS AND VEHICLE LOCATION CALCULATION METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193811 titled 'VEHICLE LOCATION CALCULATION APPARATUS AND VEHICLE LOCATION CALCULATION METHOD
The patent application describes a vehicle location calculation apparatus that uses model learning to output invisible keypoints in a model image, based on visible keypoints in the same image. The dataset calculation part generates a dataset with visible and invisible keypoints of a target vehicle by inputting the visible keypoints to the model learning part.
- Model learning part performs learning to output invisible keypoints in a model image based on visible keypoints.
- Dataset calculation part generates a dataset with visible and invisible keypoints of a target vehicle.
- Visible keypoints of the target vehicle are detected in an image while driving.
Potential Applications: - Vehicle tracking and location services - Autonomous driving systems - Traffic management and monitoring
Problems Solved: - Accurate vehicle location calculation - Improved dataset generation for vehicle tracking - Enhanced visibility of keypoints in model images
Benefits: - Increased accuracy in vehicle tracking - Efficient dataset generation process - Enhanced performance of autonomous driving systems
Commercial Applications: Title: Vehicle Tracking System for Enhanced Location Calculation This technology can be utilized in industries such as transportation, logistics, and smart city development to improve vehicle tracking and location services.
Questions about the technology: 1. How does the model learning part improve the accuracy of vehicle location calculation? 2. What are the potential challenges in implementing this technology in real-world driving scenarios?
Original Abstract Submitted
a vehicle location calculation apparatus includes: a model learning part configured to perform learning to output an invisible keypoint set in a model image in which each vehicle is modeled, based on a visible keypoint set in the model image; and a dataset calculation part configured to generate a dataset including a visible keypoint and an invisible keypoint of a target vehicle, by inputting the visible keypoint of the target vehicle to the model learning part so that the invisible keypoint of the target vehicle is output, the visible keypoint of the target vehicle being detected in an image of the target vehicle while driving.
