Abstract: Systems, devices, and methods for receiving image data; transferring the captured image data to a server having a processor and addressable memory via a network-connected computing device; storing the captured image data on the server; generating captured image metadata based on the stored captured image data; providing access to the captured image data and captured image metadata via an image management component; displaying, by the image management component, the captured image data; and filtering, by the image management component, the captured image data based on the generated captured image metadata.

Abstract: The object recognition device includes at least one sensor, a data reception unit, and a setting unit. The sensor detects an object present in a detectable range and transmits object data including a plurality of physical quantities indicating a state of the object. The data reception unit receives the object data from the sensor. The setting unit generates prediction data which predicts current object data based on at least a part of past object data received by the data reception unit and a motion model in the object, and sets a association possible region for determining a association between the prediction data and the current object data based on a plurality of physical-quantity delay times each corresponding to each of the plurality of physical quantities included in the prediction data.

Abstract: Aspects of the present invention relate to a control system, a system and a method for providing assistance to an occupant of a vehicle. Specifically, the present invention relates to determining a composite image sequence comprising a sequence of image frames, each comprising a captured image of an environment external to the vehicle and a trajectory indicator indicative of the determined vehicle trajectory through that environment. The trajectory indicator is positioned within the composite image sequence in dependence on movement by the vehicle between the time at which images associated with the corresponding image frames are captured such that the trajectory indicator appears substantially stationary in a direction of travel of the vehicle with respect to one or more image objects within the composite image sequence.

Abstract: An apparatus for determining a state includes a processor configured to, when a movement area in which movement values indicating looking directions or face orientations of a driver of a vehicle are distributed is included in a predetermined area, determine that the driver is in a state of careless driving, and enlarge the predetermined area in accordance with a road condition around the vehicle. A method for determining a state includes, when a movement area in which movement values indicating looking directions or face orientations of a driver of a vehicle are distributed is included in a predetermined area, determining that the driver is in a state of careless driving, and enlarging the predetermined area in accordance with a road condition around the vehicle.

Abstract: The system has a processing unit that collects input data and a peripheral storage device, connected to the processing unit via an interface system, for recording event data in a non-volatile memory, wherein the event data are input data stored for a recording time period relative to a time zero representing a time when a trigger event occurs. The peripheral storage device has also a volatile memory, and the data logging system stores the input data in the volatile memory of the peripheral storage device, when input data are being collected, and, when a trigger event occurs, makes a copy of stored input data as a backup from the volatile memory of the peripheral storage device into the non-volatile memory of the peripheral storage device.

Abstract: In one embodiment, a method of selecting a route for a user is disclosed. The method includes a routing computer presenting a map on a display operably coupled to the routing computer. The routing computer receives a start location and distance criteria via user input, and a plurality of routing criteria. The routing computer determines a plurality of routes that start and end at the start location based on the distance criteria and the routing criteria, and displays at least one of the plurality of routes on the map. Further, the routing computer receives route editing instructions via user input, and modifies at least one of the plurality of routes based on the editing instructions to create one or more modified routes.

Abstract: A system and method of detecting and mitigating an erratic vehicle by a host vehicle. The method includes gathering sensor information on a calibratable external region surrounding the host vehicle; analyzing the sensor information to detect a target vehicle traveling in a lane and a movement of the target vehicle in the lane; determining whether the movement of the target vehicle in the lane is erratic; if erratic then designating target vehicle as erratic vehicle; assigning a risk score to the erratic vehicle; and implementing a predetermined mitigating action correlating to the assigned risk score to the erratic vehicle. The mitigating action includes one or more of: warning an operator of the host vehicle, warning a vehicle proximal to the host vehicle, and taking at least partial control of the host vehicle to further distance the host vehicle apart from the erratic vehicle.

Abstract: An optical fiber sensing system according to the present disclosure includes an optical fiber (10) that detects vibration, a detection unit (21) that detects occurrence of a predetermined event, based on an optical signal on which vibration detected by the optical fiber (10) is superimposed, an identification unit (22) that identifies an occurrence location of the predetermined event, based on the optical signal, and identifies a movement destination area serving as a moving destination of an unmanned aerial vehicle that monitors an occurrence location of the predetermined event, based on an occurrence location of the predetermined event, and a control unit (23) that controls the unmanned aerial vehicle to move to the movement destination area.

Abstract: In a method of operating a vehicle, sensor data comprising an object detection of a sensor of the vehicle is provided, the object detection being representative of a detected object. Further, a trust model is provided, wherein the trust model is configured to model a trust in object detection. Depending on the sensor data and the trust model, a trust value of the detected object is determined, the trust value of the detected object being representative of how high a trust in the detected object is. The vehicle is operated depending on the trust value of the detected object.

Abstract: A method includes determining an operational condition associated with an unmanned aerial vehicle (UAV). The method includes, responsive to determining the operational condition, causing the UAV to perform a pre-flight check. The pre-flight check includes hovering the UAV above a takeoff location. The pre-flight check includes, while hovering the UAV, moving one or more controllable components of the UAV in accordance with a predetermined sequence of movements. The pre-flight check includes obtaining, by one or more sensors of the UAV, sensor data indicative of a flight response of the UAV to moving the one or more controllable components while hovering the UAV. The pre-flight check includes comparing the sensor data to expected sensor data associated with an expected flight response to the predetermined sequence of movements while hovering the UAV. The pre-flight check includes, based on comparing the sensor data to the expected sensor data, evaluating performance of the UAV.

Abstract: A travel control device is configured to make an autonomous driving vehicle travel in such a way that the autonomous driving vehicle arrives at a specified position specified by a user who intends to board the autonomous driving vehicle, when the autonomous driving vehicle has reached a predetermined range from the specified position, transmit an information sending request notifying the user terminal that the autonomous driving vehicle has reached a vicinity of the specified position and requesting sending of position identifying information for identifying a position at which the user intends to board the autonomous driving vehicle to the user terminal via a communication circuit, and when receiving the position identifying information via the communication circuit, change a position of the autonomous driving vehicle, based on the position identifying information in such a way that the autonomous driving vehicle comes close to the user.

Abstract: A self-position estimation accuracy verification method includes a step of moving a mobile object to a first check point, a step of acquiring first check information, a step of starting a self-position estimation using the first check information as an initial value, a step of moving the mobile object to a second check point while continuing the self-position estimation, a step of acquiring second check information, and a step of calculating a deviation between a position and a posture of the mobile object on the map estimated by the self-position estimation at the second check point and a position and a posture of the mobile object on the map indicated in the second check information, and verifying the accuracy of the self-position estimation based on the deviation.

Abstract: The invention relates to a method for operating a vehicle assistance or control system with a vehicle and with an offboard obstacle recognition sensor for recognizing obstacles for the vehicle, wherein the vehicle includes an onboard obstacle recognition sensor for recognizing obstacles to the vehicle, wherein a first grid map is generated relative to the offboard obstacle recognition sensor, a second grid map relative to the onboard obstacle recognition sensor, or respectively relative to the vehicle, and wherein a consolidated grid map is generated depending on the first grid map and the second grid map.

Abstract: A transportation system is provided. The system includes: a highway vehicle, a first set of highway points located along a path of the vehicle, a second set of highway points located along a traffic signal section, at least one RFID tag located at each of the first set and the second set of highway points, and at least one RFID tag reader located on the highway vehicle connected to a network. The at least one RFID tag located at the first set of highway points is configured to store dynamic and static characteristics of the highway vehicle as it passes the first set of highway points and the at least one RFID tag located at the second set of highway points is configured to store dynamic and static characteristics of the vehicle as it passes the second set of highway points.

Abstract: An information processing apparatus comprises a controller configured to execute periodically acquiring relative speed between two vehicles which are traveling on a same road; and performing predetermined processing in a case where a number of times that polarity of the relative speed is inverted in a first period exceeds a first threshold.

Abstract: A vehicle control system may include a controller that obtains route information based on a driving route and a location of a vehicle, searches for an uneven road surface on the driving route based on the route information, calculates an impulse based on vehicle information and shape information about the found uneven road surface when the uneven road surface is found, and sets a target speed based on the calculated impulse and user data.

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: 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: The automated driving system includes a vehicle speed detection device for detecting a speed of a vehicle, a display device capable of displaying a running lane and an adjacent lane of the vehicle, and a processor configured to control display content of the display device, and execute an autonomous lane change of the vehicle. The processor is configured to prohibit the autonomous lane change of the vehicle when a speed of the vehicle is less than a predetermined value. The processor is configured to hide the adjacent lane when the autonomous lane change is prohibited and start displaying the adjacent lane before the speed of the vehicle reaches the predetermined value if it is planned for the vehicle to accelerate from a speed below the predetermined value to a speed equal to or greater than the predetermined value in order to carry out the autonomous lane change.

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.