Aptiv has been granted a patent for a computer system that operates autonomous vehicles based on navigation information availability. The system uses sensor data to determine vehicle location and provides alerts if navigational information is unavailable, ensuring safe operation. GlobalData’s report on Aptiv gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Aptiv, Common rail fuel injection system was a key innovation area identified from patents. Aptiv's grant share as of May 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.
Autonomous vehicle navigation based on available map information
A recently granted patent (Publication Number: US11999372B2) discloses a system for operating a vehicle in an autonomous mode. The system includes one or more computer processors and non-transitory storage media storing instructions for various operations. These operations involve receiving sensor data related to objects in the vehicle's environment, controlling steering, throttling, and ignition based on sensor data, determining precise geographic locations using location and imaging data, and a semantic map with annotated features. If the annotated features are unavailable at a predicted location, the system alerts that the vehicle will exit autonomous mode and reroutes the vehicle to stay within areas with available annotated features.
Furthermore, the system can transition to an operator-assisted mode if operator control is detected, allowing for remote navigation commands and updating the semantic map with captured features. The system also determines when to switch between autonomous and operator-assisted modes based on the availability of annotated features in the semantic map. The patent also covers a method for operating a vehicle in autonomous mode, similar to the system's operations, including alerting the exit from autonomous mode if annotated features are unavailable at a predicted location. Overall, the patent aims to enhance autonomous vehicle navigation by intelligently managing transitions between autonomous and operator-assisted modes based on the availability of annotated features in the semantic map.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
