Ford Global Technologies, LLC (20240239359). System, Method, and Computer Program Product for Data-Driven Optimization of Onboard Data Collection simplified abstract
System, Method, and Computer Program Product for Data-Driven Optimization of Onboard Data Collection
Organization Name
Inventor(s)
Jelena Frtunikj of München (DE)
[[:Category:Thomas M�hlenst�dt of München (DE)|Thomas M�hlenst�dt of München (DE)]][[Category:Thomas M�hlenst�dt of München (DE)]]
System, Method, and Computer Program Product for Data-Driven Optimization of Onboard Data Collection - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240239359 titled 'System, Method, and Computer Program Product for Data-Driven Optimization of Onboard Data Collection
Simplified Explanation: The patent application discusses systems, methods, and computer program products for optimizing data collection in autonomous vehicles by identifying conditions in roadways that can be improved and providing instructions to the vehicles to capture data in those conditions.
- The innovation involves identifying conditions in roadways that can be optimized for better performance of autonomous vehicles.
- Instructions are generated to communicate to the vehicles, specifying parameters for capturing data in roadways predicted to exhibit the identified conditions.
- When the vehicles receive these instructions, they collect data in the specified roadways at the predicted times when the conditions are expected to be present.
Potential Applications: This technology can be applied in the development and enhancement of autonomous vehicle systems, improving their performance and efficiency on the road.
Problems Solved: This technology addresses the need for optimizing data collection in autonomous vehicles to enhance their overall performance and effectiveness in various roadway conditions.
Benefits: The benefits of this technology include improved performance of autonomous vehicles, better data collection in specific roadway conditions, and enhanced efficiency in navigating different environments.
Commercial Applications: Optimizing data collection in autonomous vehicles can have significant commercial applications in the automotive industry, transportation sector, and smart city development, leading to safer and more efficient autonomous driving systems.
Prior Art: Readers interested in prior art related to this technology can explore research papers, patents, and publications in the fields of autonomous vehicles, data optimization, and road traffic management.
Frequently Updated Research: Stay updated on the latest advancements in autonomous vehicle technology, data-driven optimization, and road infrastructure development to understand the evolving landscape of this innovative field.
Questions about Autonomous Vehicle Data Optimization: 1. What are the key challenges in optimizing data collection for autonomous vehicles? 2. How does this technology contribute to the overall efficiency and performance of autonomous driving systems?
Original Abstract Submitted
provided are systems, methods, and computer program products for data-driven optimization of onboard data collection, comprising identifying a condition in a roadway associated with an operation of autonomous vehicles (avs) that may be further optimized to improve performance of one or more avs; and generating condition capture instructions to communicate to the avs, wherein the condition capture instructions comprise one or more parameters of a storage request in one or more roadways predicted to exhibit the condition in the roadway; and when at least one instruction in the one or more condition capture instructions is received by an av, the at least one instruction is configured to cause the av to collect condition information in the roadway at a time when the condition is predicted to be present in the roadway.
