Abstract: A control system includes one or more processors configured to determine when to extend a life span of an engine by applying an additional restorative coating to the engine based on one or more monitored parameters of the engine. The monitored parameters include a condition of a previously applied restorative coating. The one or more processors are configured to determine the condition of the previously applied restorative coating based on an optical response of the previously applied restorative coating. The one or more processors also are configured to direct application of the additional restorative coating based on the one or more monitored parameters of the engine.

Abstract: Disclosed subject matter relates to a field of vehicle navigation system that performs a method for determining an optimal trajectory for navigation of an autonomous vehicle. A trajectory determining system associated with the autonomous vehicle may detect an occurrence of a predefined condition related to diversion based on environment data. Further, minimum lateral shift required from a predefined distance for handling the detected predefined condition is determined and co-efficient value sets corresponding to the minimum lateral shift are determined based on pre-stored values that are generated based on a trial run. For each co-efficient value set, velocity and position data is determined at a plurality of time instances based on which one or more trajectories corresponding to each co-efficient value set are generated. Finally, an optimal trajectory is determined among the generated trajectories cumulative variation in orientation and total time required for navigating along the corresponding trajectory.

Abstract: Systems, methods, and software can be used to control vehicle operation based on vehicle information. In some aspects, a method is disclosed comprising: transmitting, from a vehicle, a vehicle information request, wherein the vehicle information request comprises an identification (ID) of the vehicle; receiving, at the vehicle, a vehicle information response, wherein the vehicle information response comprises vehicle information of the vehicle; and controlling, by at least one hardware processor on the vehicle, an operation of the vehicle based on the vehicle information.

Abstract: A mobile machine having a chassis, a plurality of ground-engaging elements, a plurality of actuators for driving movement of the ground-engaging elements, and a controller for controlling each of the actuators to cause the mobile machine to follow a guidance path along a ground surface. The controller is configured to generate a first set of control values for driving the machine according to a first heading based on a reference heading error of the machine and generate a second set of control values for driving the machine according to a second heading based on a distance heading error of the machine, determine a weight scheme for the first set of control values and the second set of control values dependent on a distance of the machine from the guidance path, combine the control signals using the weight scheme and drive the machine using the combined control signals.

Abstract: A vehicle control device according to an example in the present disclosure detects a monitoring target vehicle that may potentially cut into an own-lane from an adjacent lane. Further, the vehicle control device first executes an evasive preparation when sensing a predetermined relative motion of the monitoring target vehicle relative to the flow of the adjacent lane. The vehicle control device executes an evasive action to avoid interference between the monitoring target vehicle and the own-vehicle.

Abstract: An autonomous delivery robot system to enable delivery of a product to a customer is described. One autonomous ground vehicle (AGV) includes a processing device that receives a delivery request comprising a route divided into multiple navigation segments and computes a navigable space from perception data stored in a perception map. The perception map is a robot-centered local map that stores the perception data indicative of the surroundings of the AGV. The processing device computes a cost inflation from the perception data stored in the perception map, determines a sub-goal that is on the navigable space and reachable by the AGV using the navigable space and the cost inflation, and determines a path to achieve the sub-goal using the using the navigable space and the cost inflation. The processing device controls one or more actuators to move along the path.

Abstract: A system and method for route modification to continue fully-autonomous driving is provided. The method includes operating a vehicle in a Level 3 autonomous driving mode according to a determined route; collecting data in real time concerning the route ahead of the vehicle; based on the collected data, identifying areas of the route ahead of the vehicle that would require the vehicle to leave the Level 3 autonomous driving mode; modifying the route based on the identified areas to continue operating in the Level 3 autonomous driving mode; and operating the vehicle in a Level 3 autonomous driving mode according to the modified route.

Abstract: Vehicle brake performance monitoring is provided. The braking capabilities are dynamically learned or otherwise calculated or determined in each vehicle and shared between the vehicles of the platoon. The platoon may be reorganized based on differences between the learned or otherwise calculated or determined relative braking capabilities. Desired gaps between the platooning vehicles may be modified in accordance with the learned or otherwise calculated or determined relative braking capabilities as necessary or desired. During every vehicle stop, the vehicle and axle loads together with information on the time from brake apply to when the vehicle decelerates is monitored and entered as a data point defining the vehicle response delay. The axle loads and the ABS Activation of a wheel end for a given pressure is further selectively used to create another data point. The data points are selectively used to develop overall performance (e.g., quality score) of the brake system.

Abstract: A system includes a processor configured to receive a first set of user-selected parameters, including first user-defined parameter values, the first set defining a condition for engaging a specific user-selected vehicle driving mode. The processor is also configured to receive data indicating current parameter values and automatically engage the user-selected vehicle driving mode responsive to the current parameter values matching first user-defined parameter values.

Abstract: A vehicle system for a vehicle may include a vehicle tracking unit that includes a first bus interface to be coupled to a first data communications bus of the vehicle, a vehicle position determining device, long-range and short-ranges tracker wireless devices, and a tracker controller to send vehicle position information via the long-range tracker wireless device based upon the vehicle positioning determining device. The system may also include a remote start unit that includes a second bus interface to be coupled to a second data communications bus of the vehicle, a short-range remote start wireless device to establish a short-range wireless link with the short-range tracker wireless device, and a remote start controller to receive a remote start command from the long-range tracker wireless device via the short-range wireless link, and send a remote start data bus command onto the second data communications bus based upon the remote start command.

Abstract: The technology relates to autonomous vehicles having articulating sections such as the trailer of a tractor-trailer. Aspects include approaches for tracking the pose of the trailer, including its orientation relative to the tractor unit. Sensor data is analyzed from one or more onboard sensors to identify and track the pose. The pose information is usable by on-board perception and/or planning systems when driving the vehicle in an autonomous mode. By way of example, on-board sensors such as Lidar sensors are used to detect the real-time pose of the trailer based on Lidar point cloud data. The orientation of the trailer is estimated based on the point cloud data, and the pose is determined according to the orientation and other information about the trailer. Aspects also include determining which side of the trailer the sensor data is coming from. A camera may also detect trailer marking information to supplement the analysis.

Abstract: Apparatuses, systems, kits, methods and storage medium associated with using different electrical energy source types with an electric vehicle are disclosed herein.

Abstract: A mobile machine including a chassis, a plurality of ground-engaging elements, a plurality of actuators for driving movement of the ground-engaging elements, and a controller for controlling each of the actuators to cause the mobile machine to follow a guidance path along a ground surface. The controller is configured to generate a first set of control values for driving the machine according to a first heading based on a reference heading error of the machine, generate a second set of control values for driving the machine according to a second heading based on a distance heading error of the machine, generate a current machine velocity using a prescribed machine velocity, the reference heading error, and the distance heading error, and generate control signals for driving the machine by combining the first set of control values, the second set of control values, and the current machine velocity.

Abstract: Computerized systems and methods are disclosed, including a computer system that executes software that may receive a geographic location having one or more coordinates of a structure, receive a validation of the structure location, and generate unmanned aircraft information based on the one or more coordinates of the validated location. The unmanned aircraft information may include an offset from the walls of the structure to direct an unmanned aircraft to fly an autonomous flight path offset from the walls, and camera control information to direct a camera of the unmanned aircraft to capture images of the walls at a predetermined time interval while the unmanned aircraft is flying the flight path. The computer system may receive images of the walls captured by the camera while the unmanned aircraft is flying the autonomous flight path and generate a structure report based at least in part on the images.

Abstract: Exemplary embodiments described in this disclosure are generally directed to a multi-drone automotive system that includes a first drone configured to carry one or more detachable drones. The first drone, which may be referred to as a carrier drone, may be mounted upon an automobile and operated in a tethered mode of flight. The detachable drones may be launched from the carrier drone to carry out untethered flight. The carrier drone and/or the detachable drones may be used for various applications. In one example application, the carrier drone may use a first camera that is mounted upon the carrier drone, to capture a first set of images during the tethered mode of flight. A detachable drone may be launched from the carrier drone in an untethered mode of flight in order to capture a second set of images by using a second camera mounted upon the detachable drone.

Abstract: A system includes a machine learning engine configured to receive training data including a plurality of input conditions associated with a state space and a plurality of response maneuvers associated with the state space and train a learning system using the training data and a reward function including a plurality of terms associated with a plurality of end state spaces, each term in the plurality of terms defines an end reward value for each end state space. A value function and policy are generated. The value function comprising a plurality of values, wherein each response maneuvers in the plurality of response maneuvers is associated with a value in the plurality of values related to transitioning from the state space to each end state space, the policy indicative of connections between the state spaces, plurality of values, and the respective end reward value for the plurality of end state spaces.

Abstract: Systems and methods for determining the proximity and attraction between a stationary object and a number of moving objects are provided. First and second location measurement of each of the moving objects are taken and applied to a measurable coordinate system centered around the stationary object. The converted location measurements are transformed into a proximity/attraction value (“PAV”). Where the PAV is less than one, the object is moving away from the stationary object. Where the PAV is greater than one, the object is moving towards the stationary object.

Abstract: Systems and methods for determining object prioritization and predicting future object locations for an autonomous vehicle are provided. A method can include obtaining, by a computing system comprising one or more processors, state data descriptive of at least a current or past state of a plurality of objects that are perceived by an autonomous vehicle. The method can further include determining, by the computing system, a priority classification for each object in the plurality of objects based at least in part on the respective state data for each object. The method can further include determining, by the computing system, an order at which the computing system determines a predicted future state for each object based at least in part on the priority classification for each object and determining, by the computing system, the predicted future state for each object based at least in part on the determined order.

Abstract: A current collector monitoring system in one aspect of the present disclosure is provided with: a collected current measurement unit; a collected current state determination unit; an image acquisition unit; an event recognition unit; an event determination unit; and a determination result output unit. When a state of collected current corresponds to an abnormal state, the image acquisition unit acquires an image including, within an angle of view, a collector shoe provided to a current collector.

Abstract: A decision-support system for a public transportation system includes a computing system programmed to generate public transit route options for the commuter based on at least one decision factor that estimates an expected impact on other commuters resulting from the commuter choosing each of the public transit route options, and output, for display, values associated with the at least one decision factor to influence the commuter in making a route selection.