Abstract: A system and methods for facilitation of user interactions with an electronic device. A number of user interface methods are described and may be used alone or in combination with one another to present an enhanced interface to a user. A method of providing user interaction using a compact status indicator is described. A method for providing a virtual scroll wheel to a user for interaction with content sets is described. A method for allowing a user to dynamically modify a scalable user interface is described. A method for providing gesture based input to a user via a virtual gesture pad is described. A method of providing an interactive graphic search query interface is described. A method for indicating and selecting available content type is described.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle generates segmentation scenes based upon lidar data generated by a lidar sensor system of the autonomous vehicle. The lidar data includes points indicative of positions of objects in a driving environment of the autonomous vehicle. The segmentation scenes comprise regions that are indicative of the objects in the driving environment. The autonomous vehicle generates scores for each segmentation scene based upon characteristics of each segmentation scenes and selects a segmentation scene based upon the scores. The autonomous vehicle then operates based upon the segmentation scene.

Abstract: The present invention provides devices, methods and systems for use with interactive equipment in a simulated or augmented environment, or in real world operations. The inventive devices, methods and systems allow for interactive operation equipment in a virtual or augmented reality environment while eliminating virtual drift of the operational equipment. The present invention further eliminates the need to reset a simulated environment to accommodate swapping out equipment, allowing a seamless simulation to provide an optimal virtual training environment. Finally, the present invention provides for a highly accurate operational equipment to be used in a virtual or augmented environment allowing for optimal training, while minimizing down time.

Abstract: A system and methods for facilitation of user interactions with an electronic device. A number of user interface methods are described and may be used alone or in combination with one another to present an enhanced interface to a user. A method of providing user interaction using a compact status indicator is described. A method for providing a virtual scroll wheel to a user for interaction with content sets is described. A method for allowing a user to dynamically modify a scalable user interface is described. A method for providing gesture based input to a user via a virtual gesture pad is described. A method of providing an interactive graphic search query interface is to described. A method for indicating and selecting available content type is described.

Abstract: A system and method whereby an user interface editing device is used to create a user interface for a controlling device, the created user interface including user interface elements that are associated with functional operations of a virtual equivalent of an appliance. After the created user interface is transferred to the controlling device, the virtual equivalent of an appliance is caused to be linked to an intended target appliance whereupon activation of those user interface elements of the graphical user interface that were associated with functional operations of the virtual equivalent of an appliance will cause the controlling device to transmit commands to control corresponding functional operations of the intended target appliance.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle includes a lidar sensor system. The autonomous vehicle additionally includes a computing system that executes a lidar segmentation system, wherein the lidar segmentation system is configured to identify objects that are in proximity to the autonomous vehicle based upon output of the lidar sensor system. The computing system further includes a deep neural network (DNN), where the lidar segmentation system identifies the objects in proximity to the autonomous vehicle based upon output of the DNN.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle includes a lidar sensor system. The autonomous vehicle additionally includes a computing system that executes a lidar segmentation system, wherein the lidar segmentation system is configured to identify objects that are in proximity to the autonomous vehicle based upon output of the lidar sensor system. The computing system further includes a deep neural network (DNN), where the lidar segmentation system identifies the objects in proximity to the autonomous vehicle based upon output of the DNN.

Abstract: A system and method whereby an user interface editing device is used to create a user interface for a controlling device, the created user interface including user interface elements that are associated with functional operations of a virtual equivalent of an appliance. After the created user interface is transferred to the controlling device, the virtual equivalent of an appliance is caused to be linked to an intended target appliance whereupon activation of those user interface elements of the graphical user interface that were associated with functional operations of the virtual equivalent of an appliance will cause the controlling device to transmit commands to control corresponding functional operations of the intended target appliance.

Abstract: Systems, software, and computer implemented methods associated with a smart monitoring system used to monitor, manage, and modify the usage of various applications and/or websites on a mobile or other computing device are described herein. In one example method, user interactions performed at a client device are monitored, and a determination is made as to whether the monitored user interactions are associated with non-educational content or applications. In response to determining that they are, an activity timer is increased based on ongoing interactions with the non-educational content or application. In response to a determination that a current value of the activity timer exceeds a predetermined threshold value, an interruption process is triggered on the client device causing at least one educational activity to be performed by the user of the client device. Before allowing interaction with the non-educational content or application, the educational activities must be satisfactorily completed.

Abstract: A system and method whereby an user interface editing device is used to create a user interface for a controlling device, the created user interface including user interface elements that are associated with functional operations of a virtual equivalent of an appliance. After the created user interface is transferred to the controlling device, the virtual equivalent of an appliance is caused to be linked to an intended target appliance whereupon activation of those user interface elements of the graphical user interface that were associated with functional operations of the virtual equivalent of an appliance will cause the controlling device to transmit commands to control corresponding functional operations of the intended target appliance.

Abstract: Systems, software, and computer implemented methods associated with a smart monitoring system used to monitor, manage, and modify the usage of various applications and/or websites on a mobile or other computing device are described herein. In one example method, user interactions performed at a client device are monitored, and a determination is made as to whether the monitored user interactions are associated with non-educational content or applications. In response to determining that they are, an activity timer is increased based on ongoing interactions with the non-educational content or application. In response to a determination that a current value of the activity timer exceeds a predetermined threshold value, an interruption process is triggered on the client device causing at least one educational activity to be performed by the user of the client device. Before allowing interaction with the non-educational content or application, the educational activities must be satisfactorily completed.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle includes a lidar sensor system. The autonomous vehicle additionally includes a computing system that executes a lidar segmentation system, wherein the lidar segmentation system is configured to identify objects that are in proximity to the autonomous vehicle based upon output of the lidar sensor system. The computing system further includes a deep neural network (DNN), where the lidar segmentation system identifies the objects in proximity to the autonomous vehicle based upon output of the DNN.

Abstract: The technology disclosed herein includes a packaging apparatus including an outer sleeve, an inner sleeve, and at least one locking mechanism configured to lock the inner sleeve inside the outer sleeve. In some implementations, the locking mechanism is an interior sliding mechanism, which locks the inner sleeve in its entirety in the outer sleeve. In some implementations, the locking mechanism is an interior sliding mechanism, which permits the inner sleeve to move partially out of the outer sleeve. In some implementations, the locking mechanism includes a spring, a tab, a flap, a key, a magnet lock, or other locking component. In some implementations, the inner sleeve includes a pull tab for removal of the inner sleeve from inside the outer sleeve.

Abstract: The technology disclosed herein includes a storage apparatus comprising an inner sleeve, including a first tab including memory-inducing laminated material, a second tab including memory-inducing laminated material, and an inner sleeve storage compartment; and an outer sleeve encompassing the inner sleeve when the storage apparatus is locked, and including a first aperture for receiving the first tab in a first locking mechanism, and a second aperture for receiving the second tab in a second locking mechanism.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle includes a lidar sensor system. The autonomous vehicle additionally includes a computing system that executes a lidar segmentation system, wherein the lidar segmentation system is configured to identify objects that are in proximity to the autonomous vehicle based upon output of the lidar sensor system. The computing system further includes a deep neural network (DNN), where the lidar segmentation system identifies the objects in proximity to the autonomous vehicle based upon output of the DNN.

Abstract: The technology disclosed herein includes a re-lockable, environmentally friendly packaging apparatus including an outer sleeve, an inner sleeve, and at least one locking mechanism configured to lock the inner sleeve inside the outer sleeve. In some implementations, the locking mechanism is an interior mechanism, which locks the inner sleeve in its entirety in the outer sleeve. In some implementations, the locking mechanism is an interior sliding mechanism, which permits the inner sleeve to move partially out of the outer sleeve. In some implementations, the inner sleeve includes a pull tab for removal of the inner sleeve from inside the outer sleeve.

Abstract: The present invention provides for a network connected training projectile that provides user feedback and is used to determine a trainee's proximity to an appropriately sized explosive blast zone. The invention solves the unmet need for close combat indirect fire (mortars and grenade launchers), or hand grenades which can be safely used in live training exercises. The invention further solves that such use is interactive with the training environment providing the ability to calculate the extent personnel participating in a training exercise would be affected by the training grenade in a real-life scenario. The invention further determines mortality of participants who would have been affected by the training grenade.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle generates segmentation scenes based upon lidar data generated by a lidar sensor system of the autonomous vehicle. The lidar data includes points indicative of positions of objects in a driving environment of the autonomous vehicle. The segmentation scenes comprise regions that are indicative of the objects in the driving environment. The autonomous vehicle generates scores for each segmentation scene based upon characteristics of each segmentation scenes and selects a segmentation scene based upon the scores. The autonomous vehicle then operates based upon the segmentation scene.

Abstract: An autonomous vehicle generates segmentation scenes based upon lidar data generated by a lidar sensor system of the autonomous vehicle. The lidar data includes points indicative of positions of objects in a driving environment of the autonomous vehicle. The segmentation scenes comprise regions that are indicative of the objects in the driving environment. The autonomous vehicle generates scores for each segmentation scene based upon characteristics of each segmentation scenes and selects a segmentation scene based upon the scores. The autonomous vehicle then operates based upon the segmentation scene.