Abstract: A vehicle system includes a powertrain including an electric motor operatively coupled with an automated manual transmission and an electronic control system including a gear shift control module, a transmission control module, and a motor control module in operative communication with one another over one or more controller area networks. The electronic control system includes supervisory controls configured to configured to arbitrate between a plurality of motor operation requests received over the one or more controller area networks to select a winning motor operation request, the plurality of motor operation requests including the operator torque request, evaluate one or more shift inhibit conditions, and command the electric motor to provide the winning motor operation request when none of the one or more shift inhibit conditions evaluate as true.

Abstract: A vehicle black box includes a sensor interface for receiving sensor data of a sensor module sensing at least one physical vehicle parameter. Further, the vehicle black box includes a wireless module for receiving a radio frequency signal, wherein the wireless module generates IQ data based on the radio frequency signal received. The vehicle black box also includes a recording module with a first memory for temporarily storing the IQ data generated and a second memory for permanently storing the IQ data generated. Moreover, the vehicle black box has a processing unit configured to receive and evaluate the sensor data. The processing unit is further configured to control a transfer of the IQ data from the first memory to the second memory based upon the evaluation result.

Abstract: A speed determination method, an electronic device and a computer storage medium are provided, relates to the field of computer technology, and may be applied to the field of artificial intelligence, especially the field of automated driving. The method includes: determining an expected speed direction of a controlled point of a first controlled target according to an actual location of the controlled point of the first controlled target and a preset trajectory of the controlled point of the first controlled target, wherein the first controlled target is one of a plurality of controlled targets having a kinematic relationship; and determining a target speed of at least one controlled target of the plurality of controlled targets according to the expected speed direction of the controlled point of the first controlled target and the kinematic relationship.

Abstract: The present disclosure is an autonomous robotic cargo system for moving and accurately positioning cargo inside an aircraft or at any other designated location in an austere environment. The system has a chassis coupled to one or more tracks for moving the chassis from a first location to a second location. The chassis is also coupled to one or more forks for loading cargo and unloading the cargo. In addition, the chassis has a laser scanner positioned on the chassis to capture data indicative of the chassis' environment. The system further has a control processor that pre-generates a preliminary pathway for the chassis to travel from the first location to the second location based upon laser scanner data received from the laser scanner. The control processor also controls the one or more forks to pick up cargo and controls the one or more tracks to move the cargo from the first location to the second location.

Abstract: Disclosed embodiments include systems, vehicles, and methods for tracking off-road travel. In an illustrative embodiment, a system includes a computing device having computer-readable media storing computer-executable instructions configured to cause the computing device to monitor a vehicle location. The vehicle location is identified on map data for an area encompassing the location and including road data for recognized roads in the area. Off-road travel is detected in response to determining that the vehicle location is outside of the recognized roads. Travel data is recorded representing the off-road travel of the vehicle.

Abstract: The embodiments relate to a traveling apparatus adapted to perform communication sequentially with a plurality of moving objects. The traveling apparatus includes: a moving object data acquisition unit configured to acquire moving object data including at least location information of a plurality of moving objects present within a predetermined distance range in the periphery of the traveling apparatus; a target determination unit configured to determine a target of communication from among the plurality of the moving objects; and an operation control unit configured to move, based on the moving object data, the traveling apparatus in a direction in which there is few moving objects while maintaining the state in which the traveling apparatus performs communication with the target of communication.

Abstract: An apparatus includes a generator and a control unit. The generator generates a vertical controlling force between a vehicle body and one wheel for damping a vehicle sprung mass vibration. The control unit changes the controlling force by controlling the generator based on an unsprung mass state quantity at an estimated passage position of the wheel at time after a predetermined time from current time; when a condition that a sprung mass of a sampling vehicle is highly likely to be resonating when the sampling vehicle passes through the estimated passage position is satisfied, compute a target controlling force based on a value less than the unsprung mass state quantity acquired by the sampling vehicle at the estimated passage position; and, at the time at which the wheel passes through the estimated passage position, control the generator such that a controlling force is equal to the target controlling force.

Abstract: A system can include a flight controller for an aircraft that includes an electric motor that drives blades with a variable pitch, where the flight controller receives a command to change a flight characteristic of the aircraft and creates a torque command and a revolutions per minute (RPM) command. The system can also include a propulsion assembly, where the propulsion assembly creates a current command based at least in part on the torque command and the RPM command, creates a blade pitch command based at least in part on the torque command and the RPM command, communicates the current command to the electric motor to change a mechanical output of the electric motor, and communicates the blade pitch command to blade actuators to control the pitch of the blades. The current command and the blade pitch command cause the blades of the aircraft to rotate at a predetermined RPM.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for managing data from vehicles. For instance, the method may include receiving vehicle data from a vehicle of a plurality of vehicles; obtaining collective vehicle data and vehicle parameters; performing an analysis on the vehicle data, the collective vehicle data, and the vehicle parameters to: detect a vehicle parameter event, or detect an environment change; and in response to detecting the vehicle parameter event or the environment change, transmitting a status message to a service associated with the vehicle.

Abstract: Techniques for collision avoidance using an object contour are discussed. A trajectory associated with a vehicle may be received. Sensor data can be received from a sensor associated with the vehicle. A bounding contour may be determined and associated with an object represented in the sensor data. Based on the trajectory, a simulated position of the vehicle can be determined. Additionally, a predicted position of the bounding contour can be determined. Based on the simulated position of the vehicle and the predicted position of the bounding contour, a distance between the vehicle and the object may be determined. An action can be performed based on the distance between the vehicle and the object.

Abstract: A crash detection device for mounting on a flying object having a parachute or paraglider deployment device. The crash detection device includes a sensor for measuring a parameter related to a flying state of the flying object. The sensor is configured for acquiring data of the parameter in a normal mode in which the data is acquired at a sampling frequency of less than 1 kHz, and in an abnormal mode in which the data is acquired at the sampling frequency of 1 kHz or more. The crash detection device further includes a detector coupled to the sensor and configured for verifying proper operation of the sensor; and a controller configured for receiving from the sensor values of the parameter and for determining flying state of the flying object.

Abstract: The present disclosure relates to a system and method for executing safe-return of an Unmanned Aerial Vehicle (UAV) moving along a path having a plurality of communication waypoints in the event of a communication failure. In an aspect, the proposed method can include the steps of detecting, at the UAV, a communication failure; enabling the UAV to return to last healthy communication waypoint location; and based on status of the communication failure, enabling the UAV to return to its home location.

Abstract: The present disclosure generally relates to a system of a delivery device for combining sensor data from various types of sensors to generate a map that enables the delivery device to navigate from a first location to a second location to deliver an item to the second location. The system obtains data from RGB, LIDAR, and depth sensors and combines this sensor data according to various algorithms to detect objects in an environment of the delivery device, generate point cloud and pose information associated with the detected objects, and generates object boundary data for the detected objects. The system further identifies object states for the detected object and generates the map for the environment based on the detected object, the generated object proposal data, the labeled point cloud data, and the object states. The generated map may be provided to other systems to navigate the delivery device.

Abstract: The present disclosure is related to systems and methods for indoor positioning. The method includes obtaining a first location of a subject at a first time point. The method also includes determining one or more motion parameters associated with the subject at least based on one or more sensors carried by the subject. The method further includes determining, based on the first location of the subject and the one or more motion parameters associated with the subject, a second location of the subject at a second time point after the first time point. The method still further includes adjusting, at least based on surroundings information associated with the subject at the second time point, the second location of the subject to determine a target location of the subject.

Abstract: Agricultural machines utilize global positioning systems (GPS) to acquire the location of the machine as well as the location of an event, which may be based upon an operation of the agricultural machine. Because of the possibility of outage and/or inaccuracy of the GPS, a GPS augmentation system can be included with the agricultural machine. The GPS augmentation system can supplement the location determination of the GPS, or can be used in place of the GPS when the GPS is not available. An unmanned vehicle can also be used as part of the augmentation system to provide additional information for the location of the agricultural machine and/or the event.

Abstract: A control apparatus is equipped with a control unit. The control unit acquires information on a sound in at least one room arranged along an outer wall of a building. The control unit moves an uninhabited airborne vehicle along the outer wall of the building, based on the information on the sound.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to generate a path plan. An example method includes generating guidance lines for a next path of a vehicle based on an edge of a current path, generating a first path plan of a field within a field boundary, the first path plan generated using a first degree heading, generating a second path plan of the field within the field boundary, the second path plan generated using a second degree heading, and when the first path plan includes a first cost lower than a second cost of the second path plan, transmitting the first path plan to a vehicle to control the vehicle.

Abstract: According to one aspect, a method is provided to determine whether an autonomous system is ready to be deployed or is otherwise ready for use, scene-based metrics, or metrics based on instances of scenarios. Scene-based metrics are mapped, or otherwise translated, to distance-based metrics such that substantially standard distance-based metrics may be used to gate the readiness of an autonomy system for deployment.

Abstract: Systems and methods for landmark-based localization of an autonomous vehicle (“AV”) are described herein. Implementations can generate a first predicted location of a landmark based on a pose instance of a pose of the AV and a stored location of the landmark, generate a second predicted location of the landmark relative to the AV based on an instance of LIDAR data, generate a correction instance based on the comparing, and use the correction instance in generating additional pose instance(s). Systems and methods for validating localization of a vehicle are also described herein. Implementations can obtain driving data from a past episode of locomotion of the vehicle, generate a pose-based predicted location of a landmark in an environment of the vehicle, and compare the pose-based predicted location to a stored location of the landmark in the environment of the vehicle to validate a pose instance of a pose of the vehicle.

Abstract: Among other things, we describe systems and method for improving vehicle operations using movable sensors. A vehicle can be configured with one or more sensors having the capability to be extended and/or rotated. The one or more movable sensors can be caused to move based on a determined context of the vehicle, to capture additional data associated with the environment in which the vehicle is operating.