18497540. METHOD FOR CREATING A MAP REPRESENTATION OF A ROAD TRAFFIC NETWORK FOR NAVIGATION OF A VEHICLE simplified abstract (Robert Bosch GmbH)
Contents
- 1 METHOD FOR CREATING A MAP REPRESENTATION OF A ROAD TRAFFIC NETWORK FOR NAVIGATION OF A VEHICLE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR CREATING A MAP REPRESENTATION OF A ROAD TRAFFIC NETWORK FOR NAVIGATION OF A VEHICLE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD FOR CREATING A MAP REPRESENTATION OF A ROAD TRAFFIC NETWORK FOR NAVIGATION OF A VEHICLE
Organization Name
Inventor(s)
Michael Baus of Bietigheim-Bissingen (DE)
Carsten Hasberg of Ilsfeld-Auenstein (DE)
METHOD FOR CREATING A MAP REPRESENTATION OF A ROAD TRAFFIC NETWORK FOR NAVIGATION OF A VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18497540 titled 'METHOD FOR CREATING A MAP REPRESENTATION OF A ROAD TRAFFIC NETWORK FOR NAVIGATION OF A VEHICLE
Simplified Explanation
The abstract describes a method for creating a map representation of a road traffic network for navigation of a vehicle by utilizing environment sensor data from a vehicle fleet, carrying out a SLAM method, integrating differential positioning data, and creating a map representation enriched with pose information.
- Receiving environment sensor data from environment sensors of a vehicle fleet
- Carrying out a SLAM method on the received sensor data to ascertain a map representation of the road traffic network
- Integrating differential positioning data of at least one vehicle into the map representation
- Creating a map representation enriched with pose information
Potential Applications
This technology can be applied in:
- Autonomous driving systems
- Fleet management and optimization
- Traffic flow analysis and optimization
Problems Solved
- Accurate mapping of road traffic networks
- Real-time navigation and positioning of vehicles
- Integration of sensor data for improved decision-making
Benefits
- Enhanced navigation accuracy
- Improved fleet efficiency and safety
- Real-time updates on road conditions
Potential Commercial Applications
Optimizing Fleet Navigation and Management with Advanced Mapping Technology
Possible Prior Art
Prior art may include:
- SLAM methods in robotics and autonomous systems
- Differential GPS positioning systems
Unanswered Questions
How does this technology handle complex urban environments with high traffic density?
The system's ability to process and integrate data in such environments is not explicitly mentioned in the abstract. Further details on the system's performance in these scenarios would be beneficial.
What measures are in place to ensure data security and privacy of the collected sensor and positioning data?
The abstract does not address the security and privacy aspects of handling sensitive data from multiple vehicles. Information on encryption, data anonymization, and user consent protocols would be important to know.
Original Abstract Submitted
A method for creating a map representation of a road traffic network for navigation of a vehicle. The method includes: receiving environment sensor data from environment sensors of a plurality of vehicles of a vehicle fleet, using an external computing unit; carrying out a SLAM method on the received environment sensor data and ascertaining a SLAM map representation of the road traffic network traveled by the vehicles, using the external computing unit; receiving differential positioning data of a differential global positioning system of at least one vehicle of the vehicle fleet, using the external computing unit; integrating a pose information item of the positioning data into the map representation, relating to at least one pose of the vehicle on a road of the road traffic network, and creating a map representation enriched with the pose information item, using the external computing unit.