Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. The processing device may be configured to determine a planned navigational action; identify, a target vehicle in the environment of the host vehicle; predict a distance between the host vehicle and the target vehicle if the planned navigational action was taken; determine a current host vehicle stopping distance based on a braking capability, acceleration capability, and speed of the host vehicle; determine a current target vehicle braking distance based on a speed and braking capability of the target vehicle; and implement the planned navigational action when the predicted distance of the planned navigational action is greater than a minimum safe longitudinal distance calculated based on the current host vehicle stopping distance and the current target vehicle braking distance.

Abstract: A system, method, and non-transitory computer readable medium that detects trajectories of unmanned aerial vehicles (UAV) approaching a protected site is described. Airborne defense agents (ADAs) located at a fixed radius from the protected and equidistant from one another detect acoustic signals emitted by an approaching UAV. Circuitry included in each ADA use the detected acoustic signals to determine a direction and a distance of each UAV. A base station having a control center (BS-CC) located in the protected site communicates with the ADAs to aggregate direction and distance data from the ADAs. Using the aggregated direction and distance data, the BS-CC predicts routes towards the protected site of the approaching UAV and alerts the protected site of the predicted route of the approaching UAV.

Abstract: Technologies for providing a cognitive capacity test for autonomous driving include a compute device. The compute device includes circuitry that is configured to display content to a user, prompt a message to the user to turn user's attention to another activity that needs situational awareness, receive a user response, and analyze the user response to determine an accuracy of the user response and a response time, wherein the accuracy and response time are indicative of a cognitive capacity of the user to assume control of an autonomous vehicle when the autonomous vehicle encounters a situation that the vehicle is unable to navigate.

Abstract: A driving system for an automated drive for a motor vehicle has an indicator for marking regions on the steering wheel, in particular on the steering wheel rim. The indicator is preferably an optical steering wheel display which is integrated into the steering wheel rim for example. During an automated drive, the driving system is designed to ascertain that the vehicle has approached an end of the automated drive lying ahead in such a manner that a first approach condition has been satisfied. If the system has ascertained that the vehicle has approached the end of the automated drive in such a manner that the approach condition has been satisfied, the indicator for marking regions on the steering wheel are actuated in response thereto such that a left and a right marking region on the steering wheel are marked. The driver is thus prompted to position their hands on the marked regions of the steering wheel in order to take over the task of driving.

Abstract: A system and method include scanning a light detection and ranging (LIDAR) device through a range of orientations corresponding to a scanning zone while emitting light pulses from the LIDAR device. The method also includes receiving returning light pulses corresponding to the light pulses emitted from the LIDAR device and determining initial point cloud data based on time delays between emitting the light pulses and receiving the corresponding returning light pulses and the orientations of the LIDAR device. The initial point cloud data has an initial angular resolution. The method includes identifying, based on the initial point cloud data, a reflective feature in the scanning zone and determining an enhancement region and an enhanced angular resolution for a subsequent scan to provide a higher spatial resolution in at least a portion of subsequent point cloud data from the subsequent scan corresponding to the reflective feature.

Abstract: A control system for a work vehicle includes a controller configured to establish a first bounding shape within a storage compartment. The controller is also configured to establish a second bounding shape by mirroring the first bounding shape along a lateral centerline of the work vehicle. In addition, the controller is configured to automatically engage product flow from a conveyor outlet to the storage compartment in response to the storage compartment being positioned on a first lateral side of the work vehicle and the conveyor outlet being positioned within the first bounding shape, and to automatically engage product flow from the conveyor outlet to the storage compartment in response to the storage compartment being positioned on a second lateral side of the work vehicle and the conveyor outlet being positioned within the second bounding shape.

Abstract: An apparatus for generating a navigation message includes a route generating unit configured to generate a route, and a navigation message generating unit configured to generate a navigation message about the generated route based on the generated route, one or more map information items of the generated route, and an order of priority in which map information items are presented.

Abstract: An autonomous drone is programed with the geo-location of one or more remote sensors, and the autonomous drone then flies to each of the remote sensors to acquire a most recent sensing data record, and then return to a base where the most recent data record for each remote sensor can be transferred to a computing system. Upon arriving at the location of each remote sensor, the drone causes the remote sensor to activate a local area radio transceiver so that a communication link can be established between the drone and the remote sensor.

Abstract: A robot system with a robot that has a camera, a monitor, a microphone and a speaker. A communication link can be established with the robot through a cellular phone. The link may include an audio only communication. Alternatively, the link may include audio and video communication between the cellular phone and the robot. The phone can transmit its resolution to the robot and cause the robot to transmit captured images at the phone resolution. The user can cause the robot to move through input on the cellular phone. For example, the phone may include an accelerometer that senses movement, and movement commands are then sent to the robot to cause a corresponding robot movement. The phone may have a touch screen that can be manipulated by the user to cause robot movement and/or camera zoom.

Abstract: A location identifying solution may use a pre-existing infrastructure of smart hubs and smart devices on user's properties to provide location beacons. An autonomous delivery vehicle may request a location signal from the server when nearing a destination for an order. The server may identify a smart hub with connected devices (e.g., light bulbs, speakers, etc.) associated with the user originating the order. The server may generate and transmit beaconing information to the hub. The hub may cause the devices to output a beacon (e.g., to flicker light at a frequency that is undetectable to human eye). Using a computer vision algorithm, the vehicles could detect the beacon and determine the correct property.

Abstract: A route navigation apparatus comprises: an output device configured to output music information, in an audible form, to a user; a memory; and at least one processor or circuit which functions as: a selection unit configured to select predetermined music information in accordance with an operation that has been made by the user with respect to the output music information; and a provision unit configured to provide a route corresponding to the selected predetermined music information to the user.

Abstract: Exemplary implementations may: generate output signals conveying contextual information and vehicle information; determine, based on the output signals, the contextual information; determine, based on the output signals, the vehicle information, determine, in an ongoing manner, based on the contextual information and/or the vehicle information, values of a complexity metric, the complexity metric quantifying predicted complexity of a current contextual environment and/or predicted complexity of a likely needed response to a change in the contextual information; filter, based on the values of the complexity metric, the contextual information spatially; and control, based on the vehicle information and the spatially filtered contextual information, the vehicle such that the likely needed response is satisfied.

Abstract: A system and method for providing position information of a transit object to a computing device is provided. Global positioning satellite (GPS) information of a transit object can be periodically received. For each of some of the GPS information, one or more candidate points of a transit system can be identified based on the GPS information. Using the one or more candidate points, a most likely path of travel can be determined. Additional position points along the most likely path of travel can be extrapolated and transmitted to a computing device.

Abstract: The presently disclosed subject matter includes an active proximity system (APS) mountable on an unmanned autonomous vehicle (UxV), the APS comprising: one or more proximity sensors and a processing circuitry; the one or more proximity sensors are configured to sense one or more proximity signals, each of the signals is indicative of the presence of a respective emitter in proximity to the UxV; the processing circuitry is configured, responsive to a sensed proximity signal, to repeatedly: generate maneuvering instructions dedicated for causing the UxV to move and increase the distance between the UxV and the respective emitter; and then generate maneuvering instructions dedicated for causing the UxV to move and decrease the distance between the UxV and the respective emitter; and thereby maintain the UxV within a certain range from the respective emitter defined by the sensed proximity signal.

Abstract: Autonomous vehicle fleet management systems are provided herein. An example method includes receiving, via a control module of a first electric vehicle, trip characteristics data associated with a second electric vehicle. The trip characteristics data includes information such as vehicle location, a trip destination, and a route plan associated with the second electric vehicle. The control module or a connected control server selects a charging station for recharging the first electric vehicle based at least in part on the trip characteristics data and at least one route optimization option associated with the first electric vehicle. The example method further includes determining a travel route to the charging station and navigating the first electric vehicle to the charging station along the travel route using an autonomous vehicle navigation system associated with the control module.

Abstract: A driving assistance method for assisting a power-intensive driving maneuver of a subject vehicle includes predicting the power-intensive driving maneuver of the subject vehicle, and determining whether driving maneuver criteria, which comprise at least one energy criterion and at least one traffic criterion, are satisfied for the predicted power-intensive driving maneuver. Determining if the at least one energy criterion is satisfied includes determining a peak power profile required for a full execution of the predicted power-intensive driving maneuver, determining an available drive power of the subject vehicle, and evaluating whether the available drive power is sufficient for the peak power profile, wherein the at least one energy criterion is satisfied if the available drive power is sufficient for the peak power profile.

Abstract: A data processing system includes a host system and one or more expansion devices coupled to the host system over a bus. The host system may include one or more processors and a memory storing instructions, which when executed, cause the processors to perform autonomous driving operations to drive an autonomous driving vehicle (ADV). Each expansion device includes a switch device and one or more processing modules coupled to the switch device. Each processing module can be configured to perform at least one of the autonomous driving operations offloaded from the host system. At least one of the processing modules can be configured as a client node to perform an action in response to an instruction received from the host system. Alternatively, it can be configured as a host node to distribute a task to another client node within the expansion device. This host node in the expansion device can further cooperate with the host system via a host-to-host connection.

Abstract: An ECU of an automated drive device determines a future traveling track for a vehicle using a first straight line that extends in a forward direction of the vehicle, a second straight line that extends along a second course, and a curved track that extends between a first predetermined point on the first straight line and a second predetermined point on the second straight line. After determination of the future traveling track, the vehicle turns to the right in an intersection during actual traveling on the traveling track, if a median strip is present in a course of the vehicle, a changed track is calculated so as to avoid interference of the vehicle with the median strip.

Abstract: Disclosed is a method for controlling the speed of a vehicle, the method comprising: determining a speed limit; determining an offset value based on (i) the speed limit, and (ii) a speed map, the speed map comprising a plurality of entries, each entry associating one of the offset values with a respective speed limit; and setting the speed of the vehicle according to the speed limit and the determined offset value.

Abstract: An information management system collects and manages information on a charging stand that allows a user to effectively utilize the time during charging. The information management system acquires, from a probe information management device that stores location information of a vehicle and battery residual capacity information of a battery provided in the vehicle, the location information of the vehicle and the battery residual capacity of the vehicle; and acquires, from a user operation terminal operated by a user who gets on the vehicle, destination information indicating a location of a destination of the vehicle input by the user and information on what the user wants to do during charging of the vehicle. A storage unit stores the location information of the vehicle and the battery residual capacity information in association with the destination information of the vehicle and the information on what the user wants to do during the charging.