Abstract: A computing system can receive image data corresponding to an image of a passenger interior of the vehicle from a computing device of a vehicle or a driver. Using the image data, the computing system can determine at least one of (i) a first route for the vehicle or the driver to travel to a start location of a requesting user, or (ii) a second route for the requesting user to travel to the start location. The computing system may then transmit at least one of (i) navigation instructions based on the first route to the computing device of the vehicle or the driver, or (ii) navigation instructions based on the second route to a computing device of the requesting user.

Abstract: According to one aspect, systems and techniques for driving mode control may include a steering wheel, a sensor, a display, and a controller. The steering wheel may have a button coupled thereto. The button may have a depressed state. When the button is in the depressed state, the steering wheel may be movable between a first position and a second position. The sensor may detect whether the steering wheel is in the first position or the second position. The display may display a display content. The controller may set the display content for the display or a driving mode of a vehicle, such as an autonomous driving mode or a manual driving mode, based on the detected position of the steering wheel.

Abstract: The present invention extends to methods, systems, and computer program products for using geofences to restrict vehicle operation. Aspects of the invention include creating dynamic geofences and limiting vehicle movements (e.g., speed, acceleration, steering, etc.) within and in the vicinity of the dynamic geofences to protect pedestrians from physical harm. In general, radio devices track people in an area by counting the number of devices and calculating the number of people based on average number of devices per person. Using count and location data, a geofence is created when population or population density within an area exceeds a threshold. The geofence can be sent to vehicles to restrict vehicle operation, for example, slowing down or stopping the vehicle, within and around the geofence.

Abstract: Systems and methods for collecting data from electric vehicles, and performing various different actions based on the collected data, are described. In some embodiments, a device, such as a remote device that communicates with a server, connects with a controller area network (CAN) of an electric vehicle, and collects data from the CAN and/or other types of data associated with the electric vehicle (e.g., geographical information that identifies a location of an electric vehicle, movement information that identifies whether the electric vehicle is in motion or not, and so on). The systems and methods may perform various actions using some or all of the collected data.

Abstract: An information processing device includes a control circuitry configured to acquire first location information obtained based on a positioning process of a terminal, acquire second location information obtained based on a positioning process of a moving object located at a same site as the terminal, calculate difference information between a terminal location indicated by the first location information and a moving-object location indicated by the second location information, acquire third location information obtained based on the positioning process of the terminal after the terminal moves, and set information of a moving range for the moving object based on the third location information and the difference information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to monitor a community. The drone may include a processor and a storage device storing instructions that, when executed by the processor, cause the one or more processors to perform operations. The operations may include receiving an instruction to deploy based on a determination, by a community monitoring system that an event was detected at a property of the community, navigating towards the property along an initial navigation path, obtaining local monitoring system data from a local monitoring system of a property of the community, generating based on the local monitoring system data a navigational model that identifies a location of each of one or more surveillance objectives, determining an adjusted navigation path to a location of a surveillance objective of the one or more surveillance objectives, and navigating along the adjusted navigation path.

Abstract: A swath tracking system for an off-road vehicle includes a control system with a processor and a memory. The control system is configured to receive a plurality of vehicle location points and a current vehicle state, wherein the current vehicle state comprises a current vehicle location, generate a planned vehicle path through one or more of the plurality of vehicle location points, generate a correction path from the current vehicle location to a point along the planned vehicle path ahead of the current vehicle location along a direction of travel, generate a blended path by blending the planned vehicle path and the correction path based at least in part on an assigned weight, wherein the assigned weight is based at least in part on a heading error, a distance between the current vehicle location and the planned path, or a combination thereof, and guide the off-road vehicle along the blended path.

Abstract: A system includes a locator device and one or more processors operably connected to the locator device. The locator device determines a trailing distance between a trailing vehicle system that travels along a route and a leading vehicle system that travels along the route ahead of the trailing vehicle system in a same direction of travel. The one or more processors compare the trailing distance to a first proximity distance relative to the leading vehicle system. In response to the trailing distance being less than the first proximity distance, the one or more processors set a permitted power output limit for the trailing vehicle system to be less than a maximum achievable power output for the trailing vehicle system, the permitted power output limit being set based on a power-to-weight ratio of the leading vehicle system.

Abstract: A system determines wind information for achieving a desired outcome for travel of a selected group of one or more vehicles along one or more routes. The system determines wind drag and/or a parasitic energy loss for travel by different potential groups of vehicles based on the wind information. The system determines the wind drag and/or parasitic energy loss for each of plural, different locations along the one or more routes, visually presents the wind drag and/or parasitic energy loss for each of the different groups of vehicles, and/or determines the selected group of the one or more vehicles from the different groups of vehicles for travel along the one or more routes to achieve the desired outcome based on the wind drag and/or parasitic energy loss that is determined.

Abstract: This application discloses sensors to capture audio measurement in an environment around a vehicle and a computing system to classify audio measurements captured with one or more sensors mounted to a vehicle, wherein the classified audio measurements identify to a type of object in an environment around the vehicle, and fuse the classified audio measurements with measurements captured by at least one different type of sensor to detect the object in the environment around the vehicle, wherein a control system for the vehicle is configured to control operation of the vehicle based, at least in part, on the detected object. The computing system can also identify noise in the captured audio measurements originating from the vehicle and utilize the identified noise to detect faults in the vehicle, to perform proximity detection around the vehicle, or to perform noise cancelation operations in the vehicle.

Abstract: The tipping of a tractor operating on an inclined surface is prevented by deploying a sideways moving stabilizer before the tractor's inclination angle is too low and below which the tractor will tip over.

Abstract: The present disclosure discloses method and an Electronic Control Unit (ECU) (101) of autonomous vehicle for determining an accurate position. The ECU (101) determines centroid coordinate from Global Positioning System (GPS) points, relative to autonomous vehicle and identifies approximate location and orientation of vehicle on pre-generated map based on centroid coordinate and Inertial Measurement Unit (IMU) data. Distance and direction of surrounding static infrastructure is identified from location and orientation of autonomous vehicle based on road boundaries analysis and data associated with objects adjacent to autonomous vehicle. A plurality of lidar reflection reference points are identified within distance and direction of static infrastructure based on heading direction of autonomous vehicle. Position of lidar reflection reference points are detected from iteratively selected shift positions from centroid coordinate.

Abstract: A method for operating a vehicle having a driver assistance system intervening in a transverse dynamics of the vehicle, comprising the steps: detecting a driver intervention in a driving behavior of the vehicle due to an intervention of at least one actuator triggered by the driver assistance system; interpreting the driver intervention as an override of the intervention of the actuator; and reducing in a defined manner the intervention of the actuator as a function of the interpretation of the driver intervention in such a way that a driving task is returned to the driver in a controlled and defined manner.

Abstract: A method is provided for generating a representation of an environment. Methods may include: determining location information of a vehicle including a road segment and a direction of travel; identifying features of the road segment based on sensor data from sensors carried by the vehicle; projecting the features of the road segment onto a ground plane of the road segment; defining bins across a width of the road segment; laterally positioning the defined bins relative to a determination of positions of the features of the road segment; consolidating detected features of each bin to define features of the road segment; and guiding an autonomous vehicle along the road segment based, at least in part, on the consolidated detected features of the road segment.

Abstract: A computing system can receive sensor log data from one or more first autonomous vehicles (AVs) operating throughout a transport service region, and analyze the sensor log data against a set of road anomaly signatures. Based on analyzing the sensor log data against the set of road anomaly signatures, the computing system may identify road anomalies within the transport service region, and generate a resolution response for each road anomaly. The computing system can then transmit the resolution response to one or more second AVs to cause the one or more second AVs to respond to the road anomaly.

Abstract: Techniques for controlling mobile drive units (e.g., robots) in proximity to humans in a physical area are described. A management device may send an activity message to the mobile drive units instructing the mobile drive units to perform a set of activities. If a human is detected in the physical area, the management device or another mobile drive unit may send an activity command instructing a mobile drive unit to stop, reduce the speed at which it is traveling, to change its path of travel, or to continue performing its set of activities. If the mobile drive units do not receive the activity command, the mobile drive units may stop performing the set of activities. After the management device determines that the human has left the physical area, the management device may resume sending the activity message.

Abstract: Aspects of the disclosure provides for a method for performing checks for a vehicle. In this regard, a plurality of performance checks may be identified including a first check for a detection system of a plurality of detection systems of the vehicle and a second check for map data. A test route for the vehicle may be determined based on a location of the vehicle and the plurality of performance checks. The vehicle may be controlled along the test route in an autonomous driving mode, while sensor data may be received from the plurality of detection systems of the vehicle. An operation mode may be selected based on results of the plurality of performance checks, and the vehicle may be operated in the selected operation mode.

Abstract: A mapping system, method and computer program product are provided to apply texture, such as windows and doors, to the visual representation of a plurality of buildings. In the context of a method, images of each of a plurality of buildings are analyzed to detect building texture for one or more faces of the buildings. A representation of the building texture is spread to visual representations of one or more faces of a respective building that do not have a detected texture. The building texture may be spread from another face of the same building that has detected texture and is of a corresponding size to the face of the building without detected texture. Or, the building texture may be spread from a face of a neighboring building has a detected texture and is of a corresponding size to the face of the building without detected texture.

Abstract: An autonomous vehicle system includes one or more output devices, one or more input sources, and a controller. In some embodiments, a verified inference engine is used by the controller to generate outputs for the output devices from inputs received from the input sources. The inference engine may be verified to be mathematically correct with an automated theorem proving tool. The automated theorem proving tool may verify that the inference engine meets the design requirements of standards such as DO-178C Level A and/or EAL-7. The controller is configured to validate the inputs received from the input sources, store the validated inputs in a fact base, generate outputs from the validated inputs, validate the one or more outputs, and provide the one or more validated outputs to the output devices.

Abstract: The present disclosure relates to a method, apparatus, and computer-readable storage medium for trajectory update using remote vehicle control. According to an embodiment, the above-described method, apparatus, and computer-readable storage medium of the present disclosure generally relate to identifying an obstacle blocking at least a portion of a road based on data received from one or more vehicle sensors, determining whether a path trajectory cannot be found to operate the vehicle with respect to the identified obstacle while the vehicle is operating in autonomous mode, sending, upon determination that the path trajectory cannot be found, a request to a remote controller to navigate the vehicle, operating the vehicle in remotely controlled mode, based upon instructions received from the remote controller, wherein a movement trajectory of the vehicle is recorded while being operated in the remotely controlled mode, and updating a navigational map based at least on the recorded movement trajectory.