18384021. VEHICLE LOCATION CALCULATION APPARATUS AND VEHICLE LOCATION CALCULATION METHOD simplified abstract (KIA CORPORATION)
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VEHICLE LOCATION CALCULATION APPARATUS AND VEHICLE LOCATION CALCULATION METHOD
Organization Name
Inventor(s)
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.
- 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 by inputting visible keypoints to the model learning part.
- Visible keypoints of the target vehicle are detected in an image 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 for vehicles - Enhanced safety features in driving systems
- Benefits:**
- Increased precision in vehicle tracking - Enhanced efficiency in navigation systems - Improved safety on the roads
- Commercial Applications:**
Title: Advanced Vehicle Location System for Navigation and Safety This technology can be used in GPS navigation devices, fleet management systems, and autonomous vehicles, offering improved accuracy and safety features for commercial transportation and logistics companies.
- Prior Art:**
Research on computer vision systems for vehicle tracking and navigation.
- Frequently Updated Research:**
Ongoing studies on machine learning algorithms for improved vehicle location accuracy and real-time navigation systems.
- Questions about Vehicle Location Calculation:**
1. How does the model learning part differentiate between visible and invisible keypoints? 2. What are the potential limitations of using invisible keypoints in vehicle location calculation?
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.
