Abstract: A computing system comprises a data storage and at least one processor communicatively coupled to the data storage. The at least one processor is configured to execute program instructions to cause the system to perform the following steps. A deep neural network (“DNN”) model is trained using training data. Next, additional scenes are determined based on the DNN model and the training data. The determined scenes are generated, and then used to augment the training dataset. The DNN model is then retrained using the augmented training dataset and stored in a data storage for deployment.

Abstract: In one embodiment, a method includes obtaining candidate data generated by a vehicle. The candidate data comprises a subset of sensor data identified based on a set of neural network models executing on the vehicle. The method also includes determining whether the candidate data can be associated with one or more categories of a set of categories for training data based on a set of categorization models. The method further includes associating the candidate data with the first category in response to determining that the candidate data can be associated with at a first category of the set of categories. The method further includes determining whether the candidate data can be associated with a second category. The set of categories lacks the second category. The method further includes including the second category in the set of categories in response to determining that the candidate data can be associated with the second category.

Abstract: Computer protection is weak with the methods currently available and there are risks of malicious users getting access to computers, corrupting important data, including system data. We are proposing a method for improving access protection, more particularly, by using a slave device that will enable or disable protection for applications as required. The device supports one or more users, none or more user groups, none or one or more Application Security Environments for each user or user group and one or more states for each Application Security Environment. The state of the hardware is manually controlled by the users. Depending on the configuration, each hardware state corresponding to an Application Security Environment corresponds to a set of privileges the processes running in that Application Security Environment have while that Application Security Environment is in that state.

Abstract: A vehicle attachment for guiding a vehicle includes a magnetic tape sensor, at least one sensor, a controller, at least one coupling device for attachment to the vehicle, and a vehicle interface system. The magnetic tape sensor is configured to detect a path. The at least one sensor can detect whether there are any obstructions along the path. The controller is configured to steer the vehicle along the predefined path and to adjust the speed of the vehicle to avoid coming in contact with any obstructions. The vehicle interface system is configured to communicatively couple the controller to at least one electronic control unit of the vehicle.

Abstract: A method includes generating a first simulated environment. The first simulated environment includes a route for a simulated vehicle. The method includes determining a set of locations within the first simulated environment for a set of objects. The method includes determining a path for the simulated vehicle based on the route and set of locations. The method includes generating a set of simulated environments based on the first simulated environment and set of locations. The method includes generating a set of images based on the set of simulated environments, the path, and the set of non-deterministically generated objects. The non-deterministically generated objects include unrealistic objects and optionally include realistic objects. The method includes training vehicle guidance models using the set of images which may include abstract or unrealistic objects. The trained vehicle guidance models may be directly used on real vehicles in corresponding real world environments.

Abstract: Devices, systems, and methods related to prediction of tire performance using existing CAN data to improve overall vehicle performance. Machine learning tools are applied to CAN data, for example pilot data and/or vehicle dynamics data, to predict tire performance factors for use in a vehicle control system to provide vehicle lateral guidance control.

Abstract: In one embodiment, a method includes obtaining candidate data generated by a vehicle. The candidate data comprises a subset of sensor data identified based on a set of neural network models executing on the vehicle. The method also includes determining whether the candidate data can be associated with one or more categories of a set of categories for training data based on a set of categorization models. The method further includes associating the candidate data with the first category in response to determining that the candidate data can be associated with at a first category of the set of categories. The method further includes determining whether the candidate data can be associated with a second category. The set of categories lacks the second category. The method further includes including the second category in the set of categories in response to determining that the candidate data can be associated with the second category.

Abstract: Devices, systems, and methods related to prediction of tire performance using existing CAN data to improve overall vehicle performance. Machine learning tools are applied to CAN data, for example pilot data and/or vehicle dynamics data, to predict tire performance factors for use in a vehicle control system to provide vehicle lateral guidance control.

Abstract: A computing system comprises a data storage and at least one processor communicatively coupled to the data storage. The at least one processor is configured to execute program instructions to cause the system to perform the following steps. A deep neural network (“DNN”) model is trained using training data. Next, additional scenes are determined based on the DNN model and the training data. The determined scenes are generated, and then used to augment the training dataset. The DNN model is then retrained using the augmented training dataset and stored in a data storage for deployment.

Abstract: A vehicle attachment for guiding a vehicle includes a magnetic tape sensor, at least one sensor, a controller, at least one coupling device for attachment to the vehicle, and a vehicle interface system. The magnetic tape sensor is configured to detect a path. The at least one sensor can detect whether there are any obstructions along the path. The controller is configured to steer the vehicle along the predefined path and to adjust the speed of the vehicle to avoid coming in contact with any obstructions. The vehicle interface system is configured to communicatively couple the controller to at least one electronic control unit of the vehicle.

Abstract: In one embodiment, a method is provided. The method includes generating a first simulated environment. The first simulated environment includes a route for a simulated vehicle. The method also includes determining a set of locations within the first simulated environment for a set of objects. The method further includes determining a path for the simulated vehicle based on the route and the set of locations. The method further includes generating a set of simulated environments based on the first simulated environment and the set of locations. The method further includes generating a set of images based on the set of simulated environments, the path, and the set of non-deterministically generated objects. The non-deterministically generated objects include unrealistic objects and optionally include realistic objects. The method further includes training vehicle guidance models using the set of images which may include abstract or unrealistic objects.

Abstract: Computer protection is weak with the methods currently available and there are risks of malicious users getting access to computers, corrupting important data, including system data. We are proposing a method for improving access protection, more particularly, by using a slave device that will enable or disable protection for applications as required. The device supports one or more users, none or more user groups, none or one or more Application Security Environments for each user or user group and one or more states for each Application Security Environment. The state of the hardware is manually controlled by the users. Depending on the configuration, each hardware state corresponding to an Application Security Environment corresponds to a set of privileges the processes running in that Application Security Environment have while that Application Security Environment is in that state.

Abstract: Computer protection is weak with the methods currently available and there are risks of malicious users getting access to computers, corrupting important data, including system data. We are proposing a method for improving access protection, more particularly, by using a slave device that will enable or disable protection for applications as required. The device supports one or more users, none or more user groups, none or one or more Application Security Environments for each user or user group and one or more states for each Application Security Environment. The state of the hardware is manually controlled by the users. Depending on the configuration, each hardware state corresponding to an Application Security Environment corresponds to a set of privileges the processes running in that Application Security Environment have while that Application Security Environment is in that state.

Abstract: Computer protection is weak with the methods currently available and there are risks of malicious users getting access to computers, corrupting important data, including system data. We are proposing a method for improving access protection, more particularly, by adding a device that will enable or disable protection for applications as required. The device supports one or more users, one or more user groups, none or one or more Application Security Environments for each user or user group and one or more states for each Application Security Environment. The state of the hardware is manually controlled by the users. Depending on the configuration, each hardware state corresponding to an Application Security Environment corresponds to a set of privileges for processes running in that Application Security Environment while that Application Security Environment is in that state.

Abstract: A high level of computer security can be achieved by controlling read/write/execute access to files, controlling incoming or outgoing network connections, controlling incoming or outgoing network traffic and controlling privileged operations based on states of Application Security Environments and/or based on states of users or groups of users and/or based on states of privilege objects. These states can be controlled dynamically by software or by one or more hardware devices.

Abstract: Computer protection is weak with the methods currently available and there are risks of malicious users getting access to computers, corrupting important data, including system data. We are proposing a method for improving access protection, more particularly, by using a slave device that will enable or disable protection for applications as required. The device supports one or more users, none or more user groups, none or one or more Application Security Environments for each user or user group and one or more states for each Application Security Environment. The state of the hardware is manually controlled by the users. Depending on the configuration, each hardware state corresponding to an Application Security Environment corresponds to a set of privileges the processes running in that Application Security Environment have while that Application Security Environment is in that state.

Abstract: Computer protection is weak with the methods currently available and there are risks of malicious users getting access to computers, corrupting important data, including system data. We are proposing a method for improving access protection, more particularly, by adding a device capable of user authentication that will enable or disable protection for applications as required. The device supports one or more users, none or more user groups, none or one or more Application Security Environments for each user or user group and one or more states for each Application Security Environment. The state of the hardware is manually controlled by the users. Depending on the configuration, each hardware state corresponding to an Application Security Environment corresponds to a set of privileges for processes running in that Application Security Environment while that Application Security Environment is in that state.

Abstract: Computer protection is weak with the methods currently available and there are risks of malicious users getting access to computers, corrupting important data, including system data. We are proposing a method for improving access protection, more particularly, by adding a device that will enable or disable protection for applications as required. The device supports one or more users, one or more user groups, none or one or more Application Security Environments for each user or user group and one or more states for each Application Security Environment. The state of the hardware is manually controlled by the users. Depending on the configuration, each hardware state corresponding to an Application Security Environment corresponds to a set of privileges for processes running in that Application Security Environment while that Application Security Environment is in that state.

Abstract: Data protection is weak with the methods currently available and there are risks of corrupting important data, including system data accidentally by users or by malicious programs. We are proposing a method for improving access protection, more particularly, protection for data on mass memories by adding a hardware that will enable or disable read or write protection to portions of mass memories for each user. The hardware supports one or more users and two or more states for each supported user. The state of the hardware is manually controlled by the users. Depending on the configuration, each hardware state corresponding to a user corresponds to disabling or enabling read or write protection to some portions of a mass memory or mass memories for that user.

Abstract: Data protection is weak with the methods currently available and there are risks of corrupting important data, including system data accidentally by users or by malicious programs. We are proposing a method for improving access protection, more particularly, protection for data on mass memories by adding a hardware that will enable or disable read or write protection to portions of mass memories for each user. The hardware supports one or more users and two or more states for each supported user. The state of the hardware is manually controlled by the users. Depending on the configuration, each hardware state corresponding to a user corresponds to disabling or enabling read or write protection to some portions of a mass memory or mass memories for that user.