Abstract: A method for managing user demand-based Operational Design Domain (ODD) expansion for an Automated Driving System (ADS) of a vehicle is presented. The method includes: requesting an ODD verification completion rate for each of a plurality of road segments by transferring a request from the vehicle to a remote server, obtaining road segment ODD status data, including the ODD verification completion rates, for the plurality of the road segments from the remote server, displaying, via a display apparatus, a graphical user interface (GUI) comprising: a graphical representation comprising: categorized road segments comprising at least road segments under ADS verification, wherein the categorized road segments include the plurality of road segments categorized based on the road segment ODD status data, and guide marks associated with a sub-set of the road segments under ADS verification, wherein one defining criteria for the sub-set is an ODD verification completion rate range.

Abstract: According to an embodiment, it is a system comprising, a sensor and a processor, wherein the processor storing instructions in a non-transitory memory that, when executed, cause the processor to detect, via the sensor of a host vehicle, a target vehicle; capture, via the sensor, one or more images of one or more regions of the target vehicle comprising a characteristic of the target vehicle; analyze, the images using an image processing module; and determine, an identity of the target vehicle; assign, based on the identity and the second identity, a confidence level on the target vehicle; and plan, a behavior for the host vehicle in real-time, based on the confidence level on the target vehicle, and wherein the system is configured for adaptive behavior based on the identity.

Abstract: According to an embodiment, disclosed is a system comprising, a sensor and a processor; wherein the processor storing instructions in a non-transitory memory that, when executed, cause the processor to detect, via the sensor of a host vehicle, a target vehicle; capture, via the sensor, a first region comprising a first characteristic of the target vehicle; analyze, the first region using an image processing module; determine, an identity of the target vehicle; capture, via the sensor, a second region comprising a second characteristic of the target vehicle; analyze, the second region using the image processing module; and determine, a safety feature that is enabled in the target vehicle.

Abstract: Techniques for automating image annotation for machine model updating are described. An example, computer implemented method comprises collecting images processed by an object detection model and associated with a detection error by the object detection model, wherein the object detection model is configured to detect respective objects in the images having a defined criterion. The method further comprises converting the images into grid images comprising a plurality of cells, providing the grid images to an authentication system that employs the grid images in association with authenticating users based on reception of user input selecting respective cells of the grid images depicting an object having the defined criterion, and receiving the grid images from the authentication system with annotation data associated therewith generated based on the user input, the annotation data identifying the respective cells of the grid images depicting the object having the defined criterion.

Abstract: A method for dynamically adapting an Operational Design Domain, ODD, for an Automated Driving System, ADS, of a vehicle is disclosed. The method includes obtaining a driving task to be executed by the ADS, decomposing the obtained driving task into a plurality of driving sub-tasks, and executing a risk calculation for each driving sub-task to evaluate whether the ADS is capable of executing each driving sub-task in view of an acceptable risk value for each driving sub-task based on a capability of the ADS and information about an environmental context surrounding each driving sub-task. The method further includes defining an ODD for the ADS based on the executed risk calculation so to control an availability of the ADS for execution of each driving sub-task, controlling the ADS of the vehicle in accordance with the defined ODD for execution of the obtained driving task.

Abstract: A method comprising: obtaining first data indicative of one or more automation features of a first vehicle automation system; and providing a control signal to a second vehicle automation system based on the first data; wherein the method is for adapting the second vehicle automation system based on the first vehicle automation system, and wherein the first vehicle automation system has been previously used by a user.

Abstract: A method for managing user demand-based Operational Design Domain (ODD) expansion for an Automated Driving System (ADS) of a vehicle is presented. The method includes: requesting an ODD verification completion rate for each of a plurality of road segments by transferring a request from the vehicle to a remote server, obtaining road segment ODD status data, including the ODD verification completion rates, for the plurality of the road segments from the remote server, displaying, via a display apparatus, a graphical user interface (GUI) comprising: a graphical representation comprising: categorized road segments comprising at least road segments under ADS verification, wherein the categorized road segments include the plurality of road segments categorized based on the road segment ODD status data, and guide marks associated with a sub-set of the road segments under ADS verification, wherein one defining criteria for the sub-set is an ODD verification completion rate range.

Abstract: A system and method for prohibiting synthesis of dangerous biological sequences are provided. The system includes a synthesizer for synthesizing biological sequences, a computer system in communication with the synthesizer, and a database including at least one prohibited biological sequence for which synthesis is prohibited. The system receives a requested biological sequence for which synthesis is desired, and compares the requested biological sequence to the database. The system prohibits synthesis of the requested biological sequence by the synthesizer if the requested biological sequence matches at least one prohibited biological sequence in the database, and allows synthesis of the requested biological sequence by the synthesizer if no match is found in the database. The computer system could form part of the synthesizer, and the requested biological sequence could be input by a user using a control panel of the synthesizer.