Robert bosch gmbh (20240190461). SENSOR PLUGIN ARCHITECTURE FOR GRID MAP simplified abstract
Contents
- 1 SENSOR PLUGIN ARCHITECTURE FOR GRID MAP
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SENSOR PLUGIN ARCHITECTURE FOR GRID MAP - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Autonomous Vehicle Control Systems
- 1.13 Original Abstract Submitted
SENSOR PLUGIN ARCHITECTURE FOR GRID MAP
Organization Name
Inventor(s)
Oliver F. Schwindt of Sunnyvale CA (US)
Stephan Reuter of Bavaria (DE)
Christos Zalidis of Mountain View CA (US)
Tobias Berling of Sunnyvale CA (US)
SENSOR PLUGIN ARCHITECTURE FOR GRID MAP - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240190461 titled 'SENSOR PLUGIN ARCHITECTURE FOR GRID MAP
Simplified Explanation
This patent application describes systems and methods for controlling an autonomous vehicle using a multi-layer grid and sensor plugins. The electronic processor integrates sensor information into the grid to guide vehicle movement.
- The system includes an electronic processor and memory storing a multi-layer grid and sensor plugin.
- Sensors output information, which the processor processes and integrates into the grid.
- The processor controls vehicle movement based on the grid.
Key Features and Innovation
- Utilizes a multi-layer grid to store environmental information.
- Generates sensor plugins based on sensor modality.
- Integrates sensor information into the grid for vehicle control.
Potential Applications
This technology can be applied in autonomous vehicles, robotics, and navigation systems.
Problems Solved
- Efficiently controls an autonomous vehicle based on sensor information.
- Integrates sensor data into a multi-layer grid for effective decision-making.
Benefits
- Improved accuracy in vehicle movement.
- Enhanced navigation capabilities.
- Increased safety in autonomous operations.
Commercial Applications
Autonomous vehicle manufacturers can use this technology to enhance the performance and safety of their vehicles, leading to increased market competitiveness.
Prior Art
Readers can explore prior patents related to autonomous vehicle control systems and sensor integration for further research.
Frequently Updated Research
Stay updated on advancements in autonomous vehicle technology, sensor integration, and grid-based navigation systems for potential improvements in this field.
Questions about Autonomous Vehicle Control Systems
How does this technology improve the efficiency of autonomous vehicles?
This technology enhances efficiency by integrating sensor data into a multi-layer grid for precise vehicle control.
What are the potential applications of this innovation beyond autonomous vehicles?
This innovation can also be applied in robotics and navigation systems for improved performance and accuracy.
Original Abstract Submitted
systems and methods for controlling an autonomous vehicle. one system includes an electronic processor and a memory configured to store a multi-layer grid and a multi-instanceable sensor plugin. the multi-layer grid includes information associated with positions in the environment. a plurality of sensors are configured to output sensor information. the electronic processor is configured to, for each of the plurality of sensors, determine a modality of the sensor and generate an instance of the sensor plugin based on the modality. the electronic processor receives, processes, and determines a plausibility of the sensor information. in response to determining that the sensor information is plausible, the electronic processor integrates the sensor information to the multi-layer grid. the electronic processor controls vehicle movement based on the multi-layer grid.
