View source for 18242726. AUTONOMOUS DRIVING SYSTEM IN HETEROGENEOUS SD MAP AND HD MAP ENVIRONMENT AND MANAGEMENT METHOD FOR THE AUTONOMOUS DRIVING simplified abstract (Kia Corporation)

=AUTONOMOUS DRIVING SYSTEM IN HETEROGENEOUS SD MAP AND HD MAP ENVIRONMENT AND MANAGEMENT METHOD FOR THE AUTONOMOUS DRIVING=


==Organization Name==

[[:Category:Kia Corporation|Kia Corporation]]


[[Category:Kia Corporation]]

==Inventor(s)==

[[:Category:Sung Won Yoon of Yongin-Si (KR)|Sung Won Yoon of Yongin-Si (KR)]][[Category: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 18242726 titled 'AUTONOMOUS DRIVING SYSTEM IN HETEROGENEOUS SD MAP AND HD MAP ENVIRONMENT AND MANAGEMENT METHOD FOR THE AUTONOMOUS DRIVING

==Simplified Explanation==

The autonomous driving system described in the patent application involves a service platform transmitting departure and destination points to an autonomous vehicle, which then generates routes using different maps and collects surrounding and traffic information to optimize the route during autonomous driving.

* Explanation of the patent/innovation:
- A service platform sends departure and destination points to an autonomous vehicle.
- The vehicle generates a route using different maps and matches it with a second route using surrounding and traffic information.
- The vehicle collects surrounding and traffic information during autonomous driving to determine if a third route should be generated.

Potential applications of this technology:
- Autonomous driving systems in urban environments.
- Delivery services using autonomous vehicles.
- Ride-sharing services with optimized route planning.

Problems solved by this technology:
- Efficient route planning in complex environments.
- Real-time optimization of routes based on surrounding and traffic information.
- Enhanced user experience with accurate and timely route updates.

Benefits of this technology:
- Improved safety through optimized route planning.
- Time and fuel efficiency with dynamic route adjustments.
- Enhanced user satisfaction with reliable and efficient autonomous driving.

Potential commercial applications of this technology:
- Autonomous taxi services in busy cities.
- Logistics companies for optimized delivery routes.
- Transportation companies for fleet management and route planning.

Possible prior art:
- Prior art in autonomous driving systems with route optimization algorithms.
- Prior art in map-based route planning for autonomous vehicles.

Unanswered questions:
1. How does the autonomous vehicle prioritize different sources of information when generating and optimizing routes?
2. What measures are in place to ensure data privacy and security when collecting surrounding and traffic information during autonomous driving?


==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.



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