18064057. USE OF HIGH DENSITY MAP IN OCCUPANCY GRID simplified abstract (Robert Bosch GmbH)
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 18064057 titled 'USE OF HIGH DENSITY MAP IN OCCUPANCY GRID
The patent application describes systems and methods for controlling an autonomous vehicle using an occupancy grid map and high density map.
- An electronic processor and memory store an occupancy grid map with cells associated with positions in the environment.
- A sensor provides sensed occupancy information for positions in the environment.
- The processor determines the vehicle's position, receives a high density map from a server, and initializes cells with occupancy information from the high density map.
- The processor confirms the state of the cells based on sensed occupancy information and controls vehicle movement using the occupancy grid map.
Potential Applications: - Autonomous driving systems - Robotics navigation - Industrial automation
Problems Solved: - Efficient and accurate vehicle control in dynamic environments - Real-time mapping and navigation updates
Benefits: - Enhanced safety and precision in vehicle movement - Adaptability to changing surroundings - Improved efficiency in navigation and obstacle avoidance
Commercial Applications: Title: Autonomous Vehicle Navigation System for Precision Control This technology can be utilized in autonomous vehicles for transportation, delivery services, and industrial automation, offering improved safety and efficiency in navigation and control.
Prior Art: Readers can explore prior patents related to autonomous vehicle control systems, occupancy grid mapping, and high density mapping technologies to understand the evolution of this innovation.
Frequently Updated Research: Stay updated on advancements in sensor technology, artificial intelligence algorithms, and real-time mapping systems to enhance the capabilities of autonomous vehicle control systems.
Questions about Autonomous Vehicle Navigation Systems: 1. How does this technology improve the accuracy of vehicle navigation in complex environments? 2. What are the key differences between occupancy grid maps and high density maps in autonomous vehicle control systems?
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.
