Hyundai Motor Company (20240227853). AUTONOMOUS DRIVING SYSTEM IN HETEROGENEOUS SD MAP AND HD MAP ENVIRONMENT AND MANAGEMENT METHOD FOR THE AUTONOMOUS DRIVING simplified abstract
AUTONOMOUS DRIVING SYSTEM IN HETEROGENEOUS SD MAP AND HD MAP ENVIRONMENT AND MANAGEMENT METHOD FOR THE AUTONOMOUS DRIVING
Organization Name
Inventor(s)
Sung Won Yoon of Yongin-Si (KR)
AUTONOMOUS DRIVING SYSTEM IN HETEROGENEOUS SD MAP AND HD MAP ENVIRONMENT AND MANAGEMENT METHOD FOR THE AUTONOMOUS DRIVING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240227853 titled 'AUTONOMOUS DRIVING SYSTEM IN HETEROGENEOUS SD MAP AND HD MAP ENVIRONMENT AND MANAGEMENT METHOD FOR THE AUTONOMOUS DRIVING
The abstract describes an autonomous driving system operating in a mixed environment of standard definition (SD) maps and high definition (HD) maps. The system involves a service platform that receives user input of a departure point and destination point through a first map, which is then used by the autonomous vehicle to generate a route using a second map. The vehicle further refines this route using a third map, taking into account surrounding information and traffic data collected during the journey.
- Autonomous driving system in a mixed SD and HD map environment
- Service platform for user input of departure and destination points
- Generation of initial route using a second map
- Refinement of route using a third map based on surrounding information and traffic data
- Decision-making process for generating a third route during autonomous driving
Potential Applications: - Autonomous driving technology in urban and rural settings - Navigation systems for self-driving vehicles - Real-time route optimization based on traffic conditions
Problems Solved: - Efficient route planning in diverse map environments - Integration of user input with real-time data for optimal navigation
Benefits: - Enhanced safety and efficiency in autonomous driving - Improved user experience with accurate route guidance - Reduced travel time and fuel consumption through optimized routes
Commercial Applications: "Autonomous Driving System with Mixed Map Environment: Revolutionizing Navigation Technology for Self-Driving Vehicles"
Frequently Updated Research: Stay updated on advancements in autonomous driving systems, route optimization algorithms, and map integration technologies.
Questions about Autonomous Driving Systems with Mixed Map Environment: 1. How does the system handle unexpected road closures or detours? 2. What measures are in place to ensure data privacy and security in collecting surrounding information and traffic data?
By providing a detailed answer to these questions, users can gain a deeper understanding of the complexities and capabilities of autonomous driving systems in heterogeneous map environments.
Original Abstract Submitted
an autonomous driving system, in a heterogeneous sd map and hd map environment, may include a service platform configured to transmit, to an autonomous vehicle, a departure point and a destination point input from a user by use of a first map, and the autonomous vehicle configured to generate a first route using the departure point, the destination point, and a second map, and generate a second route matching the first route using a third map, according to a preset program, wherein the autonomous vehicle is configured to determine whether to generate a third route by collecting surrounding information on the second route and traffic information on the second route provided from an external server, during autonomous driving along the second route, and set the third route corresponding to a determined result value obtained by the determining by use of a first by use of a first surrounding information.
