Abstract: Systems and methods for assisting an operator in operating vehicle controls are disclosed herein. One embodiment detects that an operator is touching a control in a vehicle and automatically takes, in response to the operator touching the control, one or more actions to assist the operator with regard to the vehicle being a left-hand-drive vehicle or a right-hand-drive vehicle.

Abstract: Aspects of the present disclosure provide techniques for training a machine-learning model to compress map data for use online by an autonomous vehicle and techniques for compressing map data using the trained machine-learning model. A system includes a computing device configured to deploy a simulation environment initiating an instance of a virtual vehicle, execute iterations of a simulation of the virtual vehicle, wherein each iteration: deploys a set of map data compressed by the machine-learning compression model and causes the virtual vehicle to execute control operations based on the deployed set of map data, evaluate performance of the executed control operations by the virtual vehicle based on the compressed map data for each iteration, and train the machine-learning compression model to compress map data such that the evaluated performance of the executed control operations by the virtual vehicle exceeds a performance threshold.

Abstract: A system, method, and storage medium are provided. The system includes a real-time domain including a real-time cache and a non-real-time domain including a non-real-time cache. The system is configured to implement a cache coherency protocol by indicating that a cache line may be shared between the real-time cache and the non-real-time cache.

Abstract: Systems and methods for training a policy are disclosed. In one example, a system includes a processor and a memory with instructions that cause the processor to train the policy using a training data set with training scenes to generate an identification policy and perform a closed-loop simulation on the identification policy to collect closed-loop metrics. Based on the closed-loop metrics, the instructions cause the processor to construct an error set of the training scenes and construct an upsampled training set by upsampling the error set. After that, the policy is trained using the upsampled training set to generate a final policy.

Abstract: A map update device includes a processor configured to identify one or more registered features within a predetermined distance of the position of a feature indicated by feature data received from a vehicle among individual registered features represented in map information, associate the feature indicated by the feature data with a registered feature of the same type as the feature indicated by the feature data or of a type belonging to the same group as the type of the feature among the one or more identified registered features, by referring to feature group information indicating two or more similar types among a plurality of types of the features as the same group, and update at least the position or type of a registered feature, based on the positions or types of the features indicated by the feature data associated with the registered feature.

Abstract: A map information managing device to be mounted on a vehicle includes a processor configured to set an area represented in map information including information used for autonomous driving control, depending on the level of autonomous driving control applied to the vehicle and the position of the vehicle, and request a map server to deliver the map information of the set area, via a communication terminal mounted on the vehicle.

Abstract: Systems and methods are provided for modulating headlight characteristics according to a calculated probability of future unplanned disengagement of advanced driver-assistance systems or automated driving systems, collectively referred to as driving automation systems. In particular, some embodiments aim to alert drivers of both a likelihood of unplanned disengagement, as well as a source of unplanned disengagement.

Abstract: Systems and methods for assessing the performance of an automated autonomous driving evaluator are disclosed herein.

Abstract: The method of the present disclosure is a method for operating a regular service vehicle and an on-demand vehicle that travel by autonomous driving on a single lane having a plurality of overtaking places including a stop. According to the method, it is predicted that the on-demand vehicle is prevented from arriving at a location of a user of the on-demand vehicle at an optimal time by the regular service vehicle. When a passenger is on the regular service vehicle, an arrival time of the on-demand vehicle at the location of the user is delayed from the optimal time to cause the regular service vehicle to travel according to a regular operation schedule. When no passenger is on the regular service vehicle, the regular service vehicle is delayed from the regular operation schedule to cause the on-demand vehicle to arrive at the location of the user at the optimal time.

Abstract: The method of the present disclosure is a method for operating an on-demand vehicle that travels by autonomous driving on a single lane on which a regular service vehicle is operated. According to the method of the present disclosure, first the on-demand vehicle is moved to a meeting place with a user in response to receiving a reservation for the on-demand vehicle from the user. Next, an available waiting time of the on-demand vehicle at the meeting place is calculated based on a regular operation schedule of the regular service vehicle. Then, the on-demand vehicle is moved from the meeting place so as not to affect operation of the regular service vehicle when the available waiting time elapses without the user appearing at the meeting place.

Abstract: A method of optimizing execution of a control function on a control system including a plurality of hardware components includes: determining a processing capability and a communication capability of each of the plurality of hardware components; generating a plurality of solutions for executing the control function using the plurality of hardware components based on a processing capability and a communication capability of each of the plurality of hardware components; scoring the plurality of generated solutions based on a desirability of each solution; selecting a solution having a highest desirability score; and controlling the control system to execute the control function based on the selected solution.

Abstract: A system, method, and storage medium are provided. The system includes a real-time domain including a real-time cache and a non-real-time domain including a non-real-time cache. The system is configured to implement a cache coherency protocol by indicating that a cache line may be shared between the real-time cache and the non-real-time cache.

Abstract: An apparatus and system for vehicle application management. The apparatus includes: at least one storage storing instructions; and at least one processor configured to execute the instructions to perform operations including: obtaining information identifying a first plurality of vehicle applications selected by a user of the vehicle and determining, for the user, a user-specific application matrix comprising first weight values. Each one of the first weight values is for a respective one of the first plurality of vehicle applications, and each one of the first weight values is determined based on at least a frequency of use, by the user, of the respective one of the first plurality of vehicle applications. The operations also include controlling, using the determined user-specific application matrix, downloading and installation, at the vehicle, of at least one of the first plurality of vehicle applications that is not currently installed in the vehicle.

Abstract: A method for determining correctness of properties in components of a system, executed by an electronic device, the method comprising: setting known properties of the components of the system; dynamically determining unknown properties of the components of the system, wherein the dynamically determining comprises: defining one or more pre-conditions for an operation, wherein the one or more pre-conditions must be satisfied for the operation to be performed correctly; defining one or more post-conditions for the operation, wherein the one or more post-conditions must be satisfied after the operation being performed correctly; and identifying boundaries of the unknown properties of the components of the system through testing; verifying the known properties of the components of the system and the unknown properties of the components of the system; and updating Interface Definition Language (IDL) program code to reflect the known properties of the components of the system and unknown properties of the components

Abstract: A method of simulating a sensor in an autonomous driving simulation includes obtaining values for a plurality of attributes of a target object to be sensed by a sensor simulator in the autonomous driving simulation. The sensor simulator may simulate an active sensor that outputs rays to an object and receives reflections of the rays from the object. The method also includes inputting the obtained values for the plurality of attributes to a predetermined reflection rate table to obtain a reflection rate mapped to the obtained values; and generating sensor data corresponding to the target object based on the obtained reflection rate.

Abstract: A device and a method for providing an autonomous driving simulation architecture for testing an application. The method includes integrating a plurality of simulation data models with a first core simulator that runs an autonomous vehicle simulation for testing the application; selectively connecting the first core simulator to the application; and selectively disconnecting a first simulation data model, among the plurality of simulation data models, from the first core simulator.

Abstract: A method and apparatus for modifying ground truth data for testing the accuracy of an object detection machine learning model are provided. The method includes: obtaining image data of an image capturing area from a camera point of view; obtaining ground truth data regarding objects in the image capturing area; determining a visibility rate of an object included in the obtained image data; and modifying the ground truth data based on the determined visibility rate.

Abstract: A method for debugging an autonomous driving application includes setting a line breakpoint in a line of source code of the application; setting a trigger condition relative to simulation data of a simulator executing the application; running the application by a debugger for debugging the application; and pausing running of the application by the debugger based on the line breakpoint being reached and the trigger condition being hit.

Abstract: A method and apparatus for creating a scenario for an autonomous driving simulation. The method includes setting, based on a first user input, a location of a first target object at each of a first plurality time points on a map for a simulation scenario, the first plurality of time points comprising a first time point and a third time point; and defining, based on a second user input, an action of a second target object that is different from the first target object in relation to at least one of the set locations of the first target object.

Abstract: An information search and display system searches for information in an organization and displaying it on a screen. The system includes a storage part storing correlation information showing correlation among information units including personnel and files in an organization and feature information showing features of the information units; a selecting part selecting information units with relevance to a search term based on the feature information if the search term is input; a correlation acquiring part acquiring a degree of correlation among the selected information units based on the correlation information; a generating part generating display data for displaying icons corresponding to the selected information units and connecting lines connecting these icons; and an output part outputting the generated display data. The generating part generates display data so that a display mode of a connecting line changes according to the degree of correlation.