18384021. VEHICLE LOCATION CALCULATION APPARATUS AND VEHICLE LOCATION CALCULATION METHOD simplified abstract (HYUNDAI MOTOR COMPANY)

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VEHICLE LOCATION CALCULATION APPARATUS AND VEHICLE LOCATION CALCULATION METHOD

Organization Name

HYUNDAI MOTOR COMPANY

Inventor(s)

Jonghyun Choi of Seoul (KR)

Junsik An of Seoul (KR)

VEHICLE LOCATION CALCULATION APPARATUS AND VEHICLE LOCATION CALCULATION METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 18384021 titled 'VEHICLE LOCATION CALCULATION APPARATUS AND VEHICLE LOCATION CALCULATION METHOD

The patent application describes a vehicle location calculation apparatus that utilizes model learning to output invisible keypoints of vehicles based on visible keypoints in model images, and generates datasets including visible and invisible keypoints of target vehicles.

  • Model learning part performs learning to output invisible keypoints based on visible keypoints in model images.
  • Dataset calculation part generates datasets with visible and invisible keypoints of target vehicles.
  • Visible keypoints of target vehicles are detected in images while driving.

Potential Applications: - Vehicle tracking and navigation systems - Autonomous driving technology - Traffic management and optimization

Problems Solved: - Accurate vehicle location calculation - Improved navigation and routing efficiency - Enhanced safety and security on the roads

Benefits: - Enhanced accuracy in vehicle tracking - Improved efficiency in navigation systems - Increased safety and security in transportation

Commercial Applications: Title: "Advanced Vehicle Location Calculation Technology for Navigation Systems" This technology can be used in: - GPS navigation devices - Fleet management systems - Ride-sharing platforms

Prior Art: Further research can be conducted in the field of computer vision, machine learning, and transportation technology to explore similar innovations and advancements.

Frequently Updated Research: Stay updated on advancements in computer vision algorithms, machine learning models, and transportation technology to enhance the capabilities of the vehicle location calculation apparatus.

Questions about Vehicle Location Calculation Technology: 1. How does the model learning part of the apparatus improve the accuracy of vehicle location calculation? 2. What are the potential real-world applications of this technology in the automotive industry?


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.