Abstract: Embodiments may relate to a vehicle comprising: a sensor to identify, based on an audio or visual condition, the occurrence of a condition related to a passenger of the vehicle. The vehicle may further include a processor coupled with the sensor. The processor may be configured to identify, in a user profile of the first passenger of the vehicle, a pre-identified action. The processor may further be configured to perform, or facilitate the performance of, the pre-identified action by the vehicle based on the occurrence of the audio or visual condition. Other embodiments may be described or claimed.

Abstract: The technology relates to detecting water or fouling on the exterior surface of a sensor cover, for instance due to precipitation or debris (fouling). Such objects on the sensor cover surface may degrade operation of the sensor, which can be problematic for vehicles operating in an autonomous driving mode. According to an aspect of the technology, a waveguide layer is provided on the sensor cover. A laser emits light at a selected wavelength along one side of the waveguide layer. The light waveform propagating along the waveguide layer is affected (distorted) by precipitation and/or fouling on the surface of this layer. A detector receives the distorted waveform. The system determines whether water and/or fouling is present based on the received waveform. This allows the system to determine whether to activate a cleaning module or to factor in the information when processing received sensor data.

Abstract: Methods and associated systems and apparatus for generating a three-dimensional (3D) flight path for a moveable platform such as an unmanned aerial vehicle (UAV) are disclosed herein. The method includes receiving a set of 3D information associated with a virtual reality environment and receiving a plurality of virtual locations in the virtual reality environment. For individual virtual locations, the system receives a corresponding action item. The system then generates a 3D path based on at least one of the set of 3D information, the plurality of virtual locations, and the plurality of action items. The system then generates a set of images associated with the 3D path and then visually presents the same to an operator via a virtual reality device. The system enables the operator to adjust the 3D path via the virtual reality device.

Abstract: Systems, methods, devices and computer-readable storage mediums are disclosed for correcting a compass view using map data. In an implementation, a method comprises: receiving, by one or more sensors of a mobile device, sensor data; determining, by a processor of the mobile device, compass offset data for a compass view based on the sensor data and map data; determining, by the processor, a corrected compass view based on the compass offset data; and presenting, by the processor, the corrected compass view.

Abstract: A barrier transfer machine includes a moveable chassis, an entry snout, an exit snout, a conveyor system, and a tracking system that tracks and records the locations of road barriers as they are placed on a road surface so that the last locations of the barriers can be established for evidentiary purposes and/or for alerting operators or others of mis-positioned road barriers.

Abstract: An autonomous vehicle includes one or more sensors for detecting an object in an environment surrounding the autonomous vehicle and a vehicle computing system comprising one or more processors receiving canonical route data associated with at least one canonical route, and controlling travel of the autonomous vehicle based on sensor data from the one or more sensors and the canonical route data associated with the at least one canonical route. The at least one canonical route comprises at least one roadway connected with another roadway in a plurality of roadways in a geographic location that satisfies at least one route optimization function derived based on trip data associated with one or more traversals of the plurality of roadways in a geographic location by one or more autonomous vehicles.

Abstract: An autonomous driving delivery system that delivers luggage to a user by an autonomous driving vehicle includes: an early delivery request reception unit configured to receive a request for early delivery of the luggage from a user's mobile terminal; a position information acquisition unit configured to acquire position information of the user's mobile terminal when the early delivery request reception unit receives the request for early delivery; a candidate delivery location proposal unit configured to propose at least one candidate delivery location from a plurality of predetermined stop locations to the user's mobile terminal based on the position information when the position information is acquired by the position information acquisition unit; and a delivery location determination unit configured to designate the candidate delivery location selected by the user as a delivery location of the luggage.

Abstract: An autonomous driving system includes an electronic control unit. The electronic control unit is configured to suggest to a driver that a host vehicle overtake a preceding vehicle during autonomous driving, recognize whether the driver accepts a suggestion for the overtaking, when the electronic control unit recognizes that the driver accepts the suggestion, cause the host vehicle to overtake the preceding vehicle, and, when the electronic control unit recognizes that the driver rejects the suggestion, not cause the host vehicle to overtake the preceding vehicle, set a first prohibition duration, and, when the electronic control unit suggests to the driver that the host vehicle overtake the preceding vehicle and recognizes that the driver rejects the suggestion, extend the first prohibition duration as compared to when the electronic control unit suggests to the driver that the host vehicle overtake the preceding vehicle and recognizes that the driver accepts the suggestion.

Abstract: There is provided a travel control apparatus. A control unit performs, based on a recognition result of a recognition unit and map information of a periphery of the moving body, travel control of the moving body. A first determination unit determines whether a first state is set. A second determination unit determines whether a second state is set. In at least one of a case in which the first determination unit determines that the first state is set and a case in which the second determination unit has determined that the second state is set, the control unit performs travel control prioritizing the recognition result of the recognition unit over the map information.

Abstract: A vehicle driving system is equipped with an automatic driving control unit that outputs a signal for automatically actuating a plurality of pieces of in-vehicle operational equipment that can be operated by a driver, a manual driving control unit that outputs a signal to the pieces of the in-vehicle operational equipment based on an operational input by the driver, and an interface control unit that is connected to the automatic driving control unit, the manual driving control unit and the pieces of the in-vehicle operational equipment, that receives at least one of the signal output from the automatic driving control unit or the signal output from the manual driving control unit, and that outputs the received signal to the pieces of the in-vehicle operational equipment.

Abstract: A system, method and a device for balancing a vehicle is provided. In one embodiment the system comprises of a control moment gyroscope. In another embodiment two or more control moment gyroscope may be provided. Further, in an embodiment a mechanism to provide stopping of a precession shaft that links the control moment gyroscope to the vehicle is provided. Furthermore, a user operable switch may be provided in an embodiment to stop precession shaft of the control moment gyroscope.

Abstract: A method for determining a risk of instability of a calculation of an angle ? of a steering shaft of a motor vehicle can be employed where a first gear wheel is fixed to the steering shaft and cooperates with a second gear wheel and a third gear wheel, which are smaller than the first gear wheel. The number of teeth of the first gear wheel is n. The number of teeth of the second gear wheel is m. And the number of teeth of the third gear wheel is m+1. The angles ? and ? of the two smaller gear wheels are determined and the angular position ? of the steering shaft is calculated by evaluating the equation ? = m * ? + ( m + 1 ) * ? - ( 2 ? m + 1 ) * k * ? 2 ? n , with ? being an angle of the sensor range and a whole number k given by k = round ? ( ( m + 1 ) * ? - m * ? ? ) , wherein the risk of instability is determined by calculation of a stability margin t according to t = k - ( ( m + 1 ) * ? - m * ? ? ) .

Abstract: A distributed centralized automatic driving method comprises a sensor processing module, a perception positioning module, a perception target detection module, a decision-making module, a planning module, and a vehicle control module. By clearly defining data domains and a control process, a modular design is performed to implement each functional method, and each module can be deployed to a control unit of the corresponding data domain according to the load of a computing platform. The distributed centralized automatic driving method has different computing requirements for different scenarios. By means of a distributed design, centralized computing is distributed to different computing unit modules, so as to greatly improve the stability, efficiency and parallelism of the method, thereby improving the overall performance of the method.

Abstract: A system and method for providing a comprehensive trajectory planner for a person-following vehicle that includes receiving image data and LiDAR data associated with a surrounding environment of a vehicle. The system and method also include analyzing the image data and detecting the person to be followed that is within an image and analyzing the LiDAR data and detecting an obstacle that is located within a predetermined distance from the vehicle. The system and method further include executing a trajectory planning algorithm based on fused data associated with the detected person and the detected obstacle.

Abstract: An apparatus includes a position circuit structured to monitor a position of an accelerator of a vehicle and a speed circuit structured to monitor a speed of the vehicle. The position corresponds with an associated response of a prime mover of the vehicle. The associated response includes at least one of a torque output and a power output of the prime mover. The apparatus further includes a response management circuit structured to receive an indication regarding the position of the accelerator and the speed of the vehicle; determine that the indication satisfies a remapping condition, the remapping condition including at least one of a creep condition, an obstacle condition, a deceleration condition, and a reverse condition; and dynamically remap the associated response of the prime mover of the vehicle based on the position of the accelerator in response to the indication satisfying the remapping condition.

Abstract: This disclosure relates to method and system for validating an Autonomous Vehicle (AV) stack. The method may include receiving an Operational Design Domain (ODD) and real-world data for evaluating at least one of an Advanced Driver Assistance System (ADAS) and the AV. The ODD is based on at least one feature of at least one of the ADAS and the AV. For each of a plurality of iterations, the method may further include generating a driving scenario based on the ODD of the AV and the real-world data through a Quality of Ride Experience (QoRE)-aware cognitive engine, plugging and running at least one of the ADAS and the AV algorithm based on the driving scenario, and determining a set of performance metrics corresponding to the at least one feature of at least one of the ADAS and the AV in the driving scenario based on the simulating.

Abstract: A method and a device for operating an automated vehicle. The method includes a step of detecting surroundings data values, a step of determining positions and/or predicted movements of objects in the surroundings of the automated vehicle, a step of carrying out a first comparison of the surroundings data values and/or of the positions and/or of the predicted movements using an external server, a step of determining a driving strategy for the automated vehicle as a function of the positions and/or predicted movements of the objects and as a function of the first comparison, a step of carrying out a second comparison of the driving strategy using the external server, and a step of operating the automated vehicle as a function of the driving strategy and as a function of the second comparison.

Abstract: Real-time decision-making for a vehicle using belief state determination is described. Operational environment data is received while the vehicle is traversing a vehicle transportation network, where the data includes data associated with an external object. An operational environment monitor establishes an observation that relates the object to a distinct vehicle operation scenario. A belief state model of the monitor computes a belief state for the observation directly from the operational environment data. The monitor provides the computed belief state to a decision component implementing a policy that maps a respective belief state for the object within the distinct vehicle operation scenario to a respective candidate vehicle control action. A candidate vehicle control action is received from the policy of the decision component, and a vehicle control action is selected for traversing the vehicle transportation from any available candidate vehicle control actions.

Abstract: A method includes receiving data relating to pedestrian activity at one or more locations outside of a crosswalk, analyzing the data, based on the data, identifying at least one location of the one or more locations as a constructive crosswalk, and controlling operation of an autonomous vehicle based on the at least one location of the constructive crosswalk.

Abstract: A method for door or tailgate operation in a transportation vehicle, wherein the transportation vehicle is equipped with an access control device with which determines whether the operating person is present with an authentication element within a proximity area around the transportation vehicle. The device is equipped with at least one communication module for wireless communication with the authentication element, wherein access authorization information is transmitted from the authentication element to the device, the information being checked in the device, and wherein access is granted to the device following verification of the access authorization. It is determined whether the operating person is located in the immediate vicinity of the door or tailgate to be operated, and whether the operating person performs an operating movement in the immediate vicinity for the door or tailgate operation.