Robert bosch gmbh (20240190460). USE OF HIGH DENSITY MAP IN OCCUPANCY GRID simplified abstract
Contents
USE OF HIGH DENSITY MAP IN OCCUPANCY GRID
Organization Name
Inventor(s)
Oliver F. Schwindt of Sunnyvale CA (US)
Stephan Reuter of Bavaria (DE)
Marcel Brueckner of Sunnyvale CA (US)
USE OF HIGH DENSITY MAP IN OCCUPANCY GRID - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240190460 titled 'USE OF HIGH DENSITY MAP IN OCCUPANCY GRID
Simplified Explanation: The patent application describes systems and methods for controlling an autonomous vehicle using an occupancy grid map and high-density map information.
- The system includes an electronic processor and memory storing an occupancy grid map with cells representing positions in the environment.
- A sensor provides occupancy information, and the processor determines the vehicle's position and receives a high-density map from a server.
- The processor initializes cells with occupancy information from the high-density map and confirms the state of the cells based on sensed occupancy information to control vehicle movement.
Key Features and Innovation:
- Utilizes an occupancy grid map and high-density map for controlling an autonomous vehicle.
- Integrates sensor data to confirm the state of cells in the occupancy grid map.
- Enables precise vehicle movement based on occupancy information.
Potential Applications: The technology can be applied in autonomous vehicles, robotics, and navigation systems for accurate positioning and movement control.
Problems Solved: Addresses the challenge of precise vehicle control in dynamic environments by utilizing occupancy grid maps and high-density map information.
Benefits:
- Enhanced accuracy in determining vehicle position.
- Improved control of autonomous vehicles in complex environments.
- Efficient utilization of sensor data for movement control.
Commercial Applications: The technology can be utilized in autonomous vehicles for transportation, logistics, and industrial automation, offering improved safety and efficiency in operations.
Prior Art: Researchers can explore prior studies on occupancy grid mapping, high-density maps, and autonomous vehicle control systems for related information.
Frequently Updated Research: Stay updated on advancements in sensor technology, mapping algorithms, and autonomous vehicle control systems for potential enhancements in this technology.
Questions about Autonomous Vehicle Control Systems: 1. How does the integration of occupancy grid maps and high-density maps improve autonomous vehicle control? 2. What are the key challenges in implementing sensor-based control systems for autonomous vehicles?
Original Abstract Submitted
systems and methods for controlling an autonomous vehicle. one system includes an electronic processor and a memory configured to store an occupancy grid map. the occupancy grid map includes a set of cells associated with respective positions in an environment. a sensor is configured to output sensed occupancy information associated with positions in the environment. the electronic processor is configured to determine a position of the autonomous vehicle within the environment, and receive, from a server, a high density map. the high density map contains occupancy information. the electronic processor initializes the cells with occupancy information based on the high density map. the electronic processor confirms, based on the sensed occupancy information, a state of the set of the cells of the occupancy grid map, and controls vehicle movement based on the occupancy grid map.
