Abstract: A method of processing data for a driving automation system, the method comprising steps of: obtaining image data from a camera of an autonomous vehicle, AV; image processing the image data to obtain a vehicle registration mark, VRM, of another vehicle within the surrounding area of the AV; looking up the VRM in a vehicle information database to obtain information indicative of the make, the model and the date of manufacture of the other vehicle; looking up information indicative of the make, the model and the date of manufacture of the other vehicle in a vehicle dimensions database to obtain at least one dimension of the other vehicle; and updating a context of the autonomous vehicle based on said at least one dimension of the other vehicle.

Abstract: Methods and systems for determining information about an area that includes a polygon for controlling navigation of an autonomous vehicle are disclosed. The methods include defining a bounding box that encloses the area, and generating a KD-tree from the bounding box that partitions the polygon into a plurality of leaf nodes that each include at least some of a plurality of edges of the polygon. The methods also include assigning a reference point to each leaf node, creating a data representation of the area that comprises the KD-tree, and adding the data representation to map data comprising the area. A reference point is associated with a location within that leaf node, and information relating to whether the reference point lies outside or inside the at least one polygon.

Abstract: A split control system for UAV incorporating auto pilot is disclosed. Control system comprises a real-time low-level main processor, and a non-real-time high-level co-processor. The co-processor computes desired body rate values and feeds them to the main processor which may be with latency. Main processor computes one or more motor control signals based on the desired body rate values. The main processor also executes a rate damping loop algorithm based on instantaneous body rate values to generate one or more motor control signals to maintain stability of the UAV even in events of latency in desired body rate values from the co-processor. Instantaneous body rate values are either obtained directly from sensors without any latency or obtained by main processor indirectly with negligible latency. Main processor acts as an intermediate between sensors and co-processor by collecting raw sensor data and feeding the data to co-processor.

Abstract: A vision-aided inertial navigation system (VINS) comprises an image source for producing image data along a trajectory. The VINS further comprises an inertial measurement unit (IMU) configured to produce IMU data indicative of motion of the VINS and an odometry unit configured to produce odometry data. The VINS further comprises a processor configured to compute, based on the image data, the IMU data, and the odometry data, state estimates for a position and orientation of the VINS for poses of the VINS along the trajectory. The processor maintains a state vector having states for a position and orientation of the VINS and positions within the environment for observed features for a sliding window of poses. The processor applies a sliding window filter to compute, based on the odometry data, constraints between the poses within the sliding window and compute, based on the constraints, the state estimates.

Abstract: An apparatus and method are provided for controlling autonomous driving of a vehicle which may derive predicted paths of a pedestrian and a two-wheel vehicle during autonomous driving of the vehicle so as to minimize accidents. The method includes calculating first height information allocating a first gradient that descends in a proceeding direction of objects, including a vehicle and a pedestrian, from respective positions of the objects based on dynamic information of the objects, calculating second height information allocating a second gradient based on a probability that the pedestrian will occupy infrastructure, calculating final height information by fusing the first height information and the second height information, generating a predicted path of the pedestrian, determining a driving strategy of a host vehicle based on a predicted path of the host vehicle and the predicted path of the pedestrian.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for ground control point assignment and determination. One of the methods includes receiving information describing a flight plan for the UAV to implement, the flight plan identifying one or more waypoints associated with geographic locations assigned as ground control points. A first waypoint identified in the flight plan is traveled to, and an action to designate a surface at the associated geographic location is designated as a ground control point. Location information associated with the designated surface is stored. The stored location information is provided to an outside system for storage.

Abstract: Provided are a computer program product, system, and method for configuring and controlling an automated vehicle to perform user specified operations. User vehicle control programs are loaded in an unmanned vehicle to control the unmanned vehicle to perform a user specified operation. The loading the user vehicle control programs replaces base vehicle control programs in the unmanned vehicle. There is communication with the unmanned vehicle to execute the user vehicle control programs to control the unmanned vehicle to perform the user specified operation. The base vehicle control programs are loaded into the unmanned vehicle to replace the user vehicle control programs to return control of the unmanned vehicle to a vehicle provider after performing the user specified operation.

Abstract: Systems and methods are provided for handling objects. One embodiment is an apparatus for handling objects. The apparatus includes a vacuum securement head. The vacuum securement head includes a strongback, and an array of end effectors arranged at the strongback in conformance with a contour. The contour is complementary to a pickup tool. The array of end effectors is configured to pickup objects at the pickup tool. The vacuum securement head also includes an impermeable membrane that is penetrated by the end effectors, and a vacuum system configured to provide suction through the end effectors. The suction is configured to remove air between the impermeable membrane and a rigid tool, and offset air leaks between the impermeable membrane and the rigid tool.

Abstract: Systems and methods for operating a mining machine with respect to a geofence. One system includes an electronic processor configured to determine a first virtual operation zone positioned around the mobile industrial machine, where the first virtual operation zone is a dynamic area around the mobile industrial machine. The electronic processor is also configured to modify a parameter of the first virtual operation zone.

Abstract: A system for controlling autonomously-controllable vehicle functions of an autonomous vehicle cooperating with partner subjects includes a database device with information on communication signals from partner subjects, action objectives, and scenarios, and has an autonomous vehicle with autonomously controllable vehicle functions communicatively connected to the database device. The autonomous vehicle includes a control device with a programmable unit and a surround sensor device. The control device receives sensor signals acquired by the surround sensor device of a surrounding area of the vehicle and communication signals originating from at least one partner subject. The control device determines a situation context based on the database information, and converts the captured communication signals into control signals for the autonomously controllable vehicle functions based on the situation context.

Abstract: Apparatuses, systems, and methods for tracking and/or controlling unmanned aerial vehicles (UAVs) as well as tracking UAV controllers (UACs) within a cellular network. A UAV/UAC may provide a cellular network with tracking information such as speed, orientation, altitude, C2 communication quality, C2 communication mode change request, measurement report, RRC status, cell ID, TAC ID, current location of the UAV, and destination of the UAV. The network may forward this information to an unmanned aerial system (UAS) traffic management system (UTM). The UTM may determine, based in part on the tracking information, whether to transfer control of the UAV from the UAC to the UTM. In some embodiments, the UAV/UAC may trigger the UTM to transfer control of the UAV form the UAC to the UTM.

Abstract: The disclosed technology provides solutions for protecting the health of ride-sharing passengers by detecting passenger illnesses, and taking precautions to safely address potentially exposed vehicles. A process of the disclosed technology can include steps for: collecting sensor-data corresponding with one or more AV passengers, determining a likelihood that at least one of the AV passengers is suffering from a physical illness, and transmitting a wellness notification to a fleet management system if the likelihood exceeds a predetermined threshold. Systems and machine-readable media are also provided.

Abstract: An encoder module adapted for a robotic arm is provided and includes a bracket, a bearing embedded in the bracket, an adaptor ring embedded in the bearing, a circuit board fixed on the bracket and an encoder plate. The bracket includes a ring-shaped structure. The adaptor ring includes a ring-shaped flange portion and a protruding portion. The protruding portion is located adjacent to an inner periphery of the ring-shaped flange portion and protrudes from the ring-shaped flange portion. An outer periphery and an inner periphery of the bearing engage with an inner periphery of the ring-shaped structure and an outer periphery of the protruding portion respectively. The circuit board includes a detector. The encoder plate is fixed on the ring-shaped flange portion and located at a position corresponding to the detector and between the detector and the adaptor ring. The encoder module has less accumulated error and improved accuracy.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle modular command priority determination and filtering system. One of the methods includes enabling control of the UAV by a first control source that provides modular commands to the UAV, each modular command being a command associated with performance of one or more actions by the UAV. Modular commands from a second control source requesting control of the UAV are received. The second control source is determined to be in control of the UAV based on priority information associated with each control source. Control of the UAV is enabled by the second control source, and modular commands are implemented.

Abstract: In an unmanned aerial vehicle system S, a target position Pt to which UAV 1a is headed among a plurality of UAVs 1 is determined on the basis of a position of each of a plurality of ports 2, and the UAV 1a is controlled to fly toward the target position Pt. And then, a port 2x to be used for landing of the UAV 1a is determined on the basis of a reservation status of each of the plurality of ports 2 by the other UAV 1 different from the UAV 1a among the plurality of the UAVs 1 while the UAV 1a is flying toward the target position Pt, and the UAV 1a is controlled to fly toward the determined port 2x.

Abstract: A method, computer program product, and computing system for monitoring the interior of an autonomous vehicle for information being provided by a rider of the autonomous vehicle to the autonomous vehicle; and processing the information provided by the rider of the autonomous vehicle to the autonomous vehicle to generate a response based, at least in part, upon the information provided by the rider of the autonomous vehicle.

Abstract: There is provided a method for providing a driving related guidance service by a service server. The method includes receiving advanced driver assistance system (ADAS) data of a vehicle related to a specific driving situation of the vehicle, location data of the vehicle, driving data of the vehicle, and a driving image captured during driving of the vehicle from a vehicle terminal device, generating guidance information related to the specific driving situation of the vehicle by analyzing the received data and the driving image, and providing a driving related guidance service for the vehicle using the generated guidance information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using comfort scales to assess the performance of autonomous vehicles. One of the methods includes receiving data representing a traffic encounter between a vehicle and a pedestrian. A plurality of comfort scale ratings of the encounter assigned by a rater belonging to a first rater pool are received. An input element is generated for a rating transformation model configured to predict how comfort scale ratings assigned by a particular rater pool would have been assigned by a representative rater belonging to a reference rater pool. An inference pass is performed over the rating transformation model using the input element to obtain a plurality of transformed comfort scale ratings for the reference rater pool.

Abstract: Systems and methods controlling an operation of a vehicle in real time to rendezvous the vehicle with a target over a finite time horizon having multiple specified time periods. Select a set of unsafe regions from stored unsafe regions, the set of unsafe regions represents regions of space around the target in which any operation of the PSNO thrusters does not avoid collision with the target, guaranteeing collision trajectories with the target. Formulating the set of unsafe regions as safety constraints, and updating a controller having a model of dynamics of the vehicle with the accepted data. Generating control commands by subjecting the updated controller to the safety constraints to produce a rendezvous trajectory that avoids the set of unsafe regions, guaranteeing an operation of at least the PSNO thrusters, in the event of partial vehicle thruster failure results in a trajectory that does not collide with the target.

Abstract: The present technology is effective to cause at least one processor to instruct an autonomous vehicle to navigate a specific course and to record diagnostic measurements while navigating the specific course, receive the diagnostic measurements from the autonomous vehicle, and analyze the diagnostic measurements from the autonomous vehicle in a context provided by a collection of diagnostic measurement data collected from a fleet of similar autonomous vehicles navigating the specific course.