Abstract: A vehicular control system is presented where the contact patches of the vehicle have reduced impact on an environment. Vehicular control systems include force sensors and terrain sensors that provide real-time or near real-time information about the operating environment of a vehicle. The force sensor data may be used to derive one or more forces which can be used to infer the nature of the vehicles contact patches. As the vehicular control system detects changes in a terrain attribute from the terrain sensors, the vehicular control system determines what the contact patches should be to address the terrain change and determines the necessary forces to give rise to the target contact patches. The vehicular control systems may then adjust the operational parameter values of the vehicle to generate the target contact patches to thereby reduce the impact on the environment.

Abstract: A method for learning depth-aware keypoints and associated descriptors from monocular video for ego-motion estimation is described. The method includes training a keypoint network and a depth network to learn depth-aware keypoints and the associated descriptors. The training is based on a target image and a context image from successive images of the monocular video. The method also includes lifting 2D keypoints from the target image to learn 3D keypoints based on a learned depth map from the depth network. The method further includes estimating ego-motion from the target image to the context image based on the learned 3D keypoints.

Abstract: The invention relates to a method for determining a model of the environment of a vehicle, in which method an initial position estimate for the vehicle is acquired and map data are acquired, wherein the map data comprise information about the spatial arrangement of geographical areas, and the geographical areas are assigned to different area categories. Environmental data within an acquisition space is acquired, and objects are detected using the environmental data, wherein an object position and an object category are assigned to each detected object. The environmental model is determined using the detected objects. Assignment rules are provided which define the assignment of the object categories to the area categories, wherein the objects are detected in accordance with the assignment rules.

Abstract: A storage facilities management device is configured to manage storage facilities such as storage sheds for keeping flight devices. Upon receiving instruction information including a takeoff/landing time of a flight device from a flight management device, the storage facilities management device acquires circumferential information representing circumstances of a storage shed before the takeoff/landing time so as to determine whether or not the flight device is able to take off at the takeoff time of the instruction information or to determine whether or not the flight device is able to land at the landing time of the instruction information according to the circumferential information, thus transmitting the determination result to the flight management device and allowing for takeoff or landing of the flight device according to the instruction information.

Abstract: A method of operation of a navigation system includes: determining a geographic location, of a vehicle, while a global positioning location is blocked by an obstruction and the geographic location is from an in-vehicle location sensor in the vehicle; extracting an image line from a surrounding image with an artificial intelligence model and the surrounding image is from an in-vehicle image sensor in the vehicle; transforming an image coordinate of the image line to a world coordinate of a HD map local storage based on the geographic location; extracting a map line from the HD map local storage based on the world coordinate; determining a pose relationship between the image line and the map line paired as either horizontal or vertical; generating a map-related location for the vehicle based the geographic location and the pose relationship; and communicating the map-related location for displaying on a user interface.

Abstract: A robot system includes an operating device that receives an operation instruction from an operator. The system further includes a real robot that is installed in a work space and performs a series of works constituted of a plurality of steps. The system further includes transmission type display device configured to allow the operator to visually recognize a real world and configured to display a virtual. The system further includes a control device configured to operate the virtual robot displayed on the transmission type display device based on instruction information input from the operating device. The control device is further configured to thereafter operate the real robot while maintaining a state that the virtual robot is displayed on the transmission type display device when operation execution information to execute an operation of the real robot is input from the operating device.

Abstract: Systems and methods for using a computing device with sensors to determine a holistic characteristic. The computing device is configured to receive from a user device, via a first wireless data connection, a request to generate vehicle service parameters, based on a current condition of a feature of a vehicle, receive from the user device, via the first wireless data connection, vehicle-specific identifying information, determine data for a past condition for the feature of the vehicle, using the vehicle-specific identifying information, establish a second wireless data connection with an electronic system of the vehicle, receive, from the electronic system of the vehicle, via the second wireless data connection, data of a current condition for the feature, compare the data of the past condition and the data of the current condition, and generate a vehicle service parameter based on the comparison.

Abstract: A method for operating a vehicle includes detecting a traffic light located at a first spatiotemporal location based on a first digital video stream captured by a first camera and a second digital video stream captured by a second camera. It is determined that the vehicle is located at a second spatiotemporal location by validating first location data received from sensors against second location data obtained by filtering the first location data. It is determined that the traffic light is expected at the first spatiotemporal location based on a semantic map referenced by the second spatiotemporal location. Responsive to determining that the traffic light is expected at the first spatiotemporal location, a traffic signal of the traffic light is detected based on the two digital video streams. A trajectory is determined in accordance with the traffic signal. A control circuit operates the vehicle in accordance with the trajectory.

Abstract: The present disclosure provides a training and application method of a multi-layer neural network model, apparatus and storage medium. A number of channels of a filter in at least one convolutional layer in the multi-layer neural network model is expanded, and a convolution computation is performed by using the filter after expanding the number of channels, so that the performance of the network model does not degrade while simplifying the network model.

Abstract: The present invention generally relates to a novel concept of analyzing vehicle data for determining e.g. a status of component comprised with the vehicle, specifically by correlating collected vehicle diagnosis data. The invention also relates to a corresponding system and a computer program product. In addition, the invention additionally relates to an arrangement for collecting said vehicle diagnosis data.

Abstract: A method is provided for aligning a vehicle service system relative to a vehicle positioned in a service area and provided with an Advanced Driver Assistance System, ADAS. The vehicle service system includes: a calibration structure, for calibrating an ADAS sensor of the ADAS of the vehicle, and an apparatus for measuring the alignment of the vehicle, wherein an optical device for capturing images is mounted on the apparatus. The method includes the following steps: applying a front wheel target and a rear wheel target on a front wheel and on a rear wheel of the vehicle; positioning the calibration structure and the apparatus at a position in front of the vehicle; capturing images through the optical device; and processing the images to derive information useful for positioning the calibration structure relative to the vehicle.

Abstract: A location estimating device has a processor that is configured to calculate a first estimated location of a vehicle using positional information representing the location of a vehicle and first map data overlapping with a first section of a vehicle traveling route, to calculate a second estimated location of the vehicle using positional information and second map data that overlaps with a second section of the traveling route, the first section and the second section having an overlapping section, and to assess whether or not the precision of the second estimated location satisfies a predetermined assessment criterion when the vehicle is traveling in the overlapping section from the first section toward the second section.

Abstract: A display mounting device is disclosed. The display mounting device includes a driving motor which provides a rotational driving force; an arm unit which receives the rotational driving force and moves linearly in at least one zone, thereby becoming stretched or extended. The display mounting device further includes a display mount for receiving a display and for moving the display in coordination with the stretching or extension of the arm unit.

Abstract: The invention relates to a method for testing an air traffic management electronic system. The method includes receiving by the system of input data representative of a state of air traffic and establishing by the system of information related to air traffic as a function of the input data and delivery of the information to an electronic test device of the system. The method further includes determining by the electronic test device, as a function of the delivered information, of air traffic control instructions and providing said system with the instructions and receiving and processing of the instructions by the system.

Abstract: A display mounting device is disclosed. The display mounting device includes a driving motor which provides a rotational driving force; and an arm unit which receives the rotational driving force and moves linearly in at least one zone, thereby becoming stretched or extended. The display mounting device further includes a display mount for receiving a display and for moving the display in coordination with the stretching or extension of the arm unit.

Abstract: A telematics device and a method by the telematics device are provided. The method includes detecting a vehicle starting event and sending a first request while refraining from sending a second request for a requests-off duration. After the expiry of the requests-off duration, sending the second request. In response to detecting a vehicle turning off event, sending a third request and receiving a third response up to a post vehicle turning off duration.

Abstract: A display mounting device is disclosed. The display mounting device includes a driving motor which provides a rotational driving force; and an arm unit which receives the rotational driving force and moves linearly in at least one zone, thereby becoming stretched or extended. The display mounting device further includes a display mount for receiving a display and for moving the display in coordination with the stretching or extension of the arm unit.

Abstract: A system for proximity sensing on a marine vessel includes a main inertial measurement unit (IMU) positioned on the marine vessel at a main installation attitude and a main location, a first proximity sensor configured to measure proximity of objects from a first sensor location on the marine vessel, and a first sensor IMU positioned on the marine vessel at the first sensor location and at a first installation attitude. A processor is configured to receive main IMU data from the main IMU and first IMU data from the first sensor IMU, wherein the main location of the main IMU on the marine vessel is known and at least one of the first sensor location and the first installation attitude of the first sensor IMU are initially unknown, calibrate the proximity measurements based on the main IMU data and the first IMU data, and output a calibration completion alert.

Abstract: Methods, systems and computer program products for generating content for training a classifier, including: receiving two or more parts of a description, for each part, retrieving from an extracted feature collection library one or more extracted feature collections derived from one or more video frames, the extracted feature collections or the video frames labeled with a label associated with the part, thus obtaining a multiplicity of extracted feature collections, and combining the multiplicity of extracted feature collections to obtain a combined feature collection associated with the description, the combined feature collection to be used for training a classifier.

Abstract: A driving risk classification and prevention system for a vehicle being autonomously and manually driven, includes an orientation unit for confirming a location of the vehicle, an exterior sensing unit for sensing first information external to the vehicle, and an autonomous driving risk sensing unit for sensing second information which endanger autonomous driving of the vehicle. A communications unit is linked to the orientation unit for receiving third information corresponding to the location. A risk prevention unit is linked to the orientation unit, the exterior sensing unit, the autonomous driving risk sensing unit, and the communications unit. The risk prevention unit is used for generating a first index according to the first information, generating a second index according to the third information, generating a third index according to the second information, and determining whether a safety operation is performed according to the first index and the second index.