Toyota jidosha kabushiki kaisha (20240192020). MAP MANAGEMENT APPARATUS simplified abstract
Contents
- 1 MAP MANAGEMENT APPARATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MAP MANAGEMENT APPARATUS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Map Management Apparatus
- 1.13 Original Abstract Submitted
MAP MANAGEMENT APPARATUS
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Yamato Yorifuji of Aichi-gun Aichi (JP)
MAP MANAGEMENT APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240192020 titled 'MAP MANAGEMENT APPARATUS
Simplified Explanation
The patent application describes a map management app that uses image recognition to identify road features and speed signs from in-vehicle camera images. It then compares this information with existing map data and vehicle speed to prompt updates when discrepancies are detected.
Key Features and Innovation
- Image recognition unit identifies road shape, type, and speed signs from in-vehicle camera images.
- Recognition determination unit compares recognized information with map data.
- Vehicle speed determination unit compares vehicle speed with speed sign information in the map.
- Notification unit prompts map updates when discrepancies in recognition and speed determination occur frequently.
Potential Applications
This technology can be used in:
- Navigation systems to provide real-time updates on road features and speed limits.
- Autonomous vehicles to enhance decision-making based on accurate map information.
- Traffic management systems to improve overall road safety and efficiency.
Problems Solved
- Ensures accurate and up-to-date map information for navigation.
- Enhances road safety by providing real-time speed limit information.
- Improves the efficiency of autonomous vehicles by updating map data promptly.
Benefits
- Increased accuracy in navigation systems.
- Enhanced road safety for drivers.
- Improved efficiency and decision-making for autonomous vehicles.
Commercial Applications
- "Smart" navigation systems for vehicles.
- Integration into autonomous vehicle technology.
- Traffic management systems for cities and municipalities.
Prior Art
There may be prior art related to image recognition in navigation systems and autonomous vehicles that could be relevant to this technology.
Frequently Updated Research
Research on image recognition technology in the automotive industry and its applications in navigation systems and autonomous vehicles may be relevant to this technology.
Questions about Map Management Apparatus
How does the image recognition unit identify road features and speed signs?
The image recognition unit uses algorithms to analyze the captured images and identify patterns that correspond to road shapes, types, and speed signs.
What are the potential benefits of using this map management apparatus in autonomous vehicles?
The potential benefits include improved decision-making, enhanced safety, and increased efficiency in autonomous vehicle operations.
Original Abstract Submitted
a map management apparatus includes an image recognition unit that recognizes at least any one of a road shape, a road type, and a speed sign on the basis of a captured image of an in-vehicle camera, a recognition determination unit that determines whether or not there is a difference between the recognized recognition information and map information, a vehicle speed determination unit that determines whether or not there is a difference between a speed of an own vehicle and speed sign information included in the map information, and a notification unit that issues a notification for prompting update of the map information when the number of times when the recognition determination unit determines that there is the difference and the vehicle speed determination unit determines that there is the difference becomes equal to or more than a determination frequency threshold.
