Abstract: A train movement authorization method includes obtaining, by a train, current task information from an automatic train supervision system; obtaining, by the train, current resource allocation information from a trackside resource management center; reckoning, by the train, a first train in an operation direction downstream of the train based on the received resource allocation information; sending, by the train, a location request to the first train in the operation direction downstream of the train based on an operation task of the train and responding to a location request of another train; calculating, by the train, movement authorization of the train based on train information sent by the first train downstream in the operation direction; and applying for, by the train, a corresponding line resource from the trackside resource management center based on the task of the train and a status of the calculated movement authorization.

Abstract: The invention relates to a sensor system (200, 300) for a vehicle, in particular a motor vehicle, comprising a sensor housing and an active or passive sensor (102) arranged therein, having a sensor technology based on radiation detection and a measurement apparatus assigned to the sensor (102), wherein the sensor housing has a cover (106) that is signal-transmissive for the sensor (102) on its side located in the detection direction of the sensor (102), and wherein the detection range of the sensor (102) in the region of the signal-transmissive cover (106) has a lower extent than the signal-transmissive cover (106), wherein the sensor system (200, 300) is characterized in that the sensor (102) is assigned a movable deflection apparatus (201), coupled to a control apparatus, for deflecting the radiation of the sensor (102), wherein the measurement apparatus is designed such that it is suitable for checking, in the detection range of the sensor (102), whether and in which section the signal-transmissive cover (

Abstract: An eye-safe light detection and ranging system includes a virtual protective housing. A short range pulse is emitted at every measurement point in a field of view before conditionally emitting a long range pulse. Short range pulses result in accessible emissions that are eye-safe at short distances and long range pulses result in accessible emissions that are eye-safe at longer distances.

Abstract: A vehicle control method includes determining whether a driving intention of a user is a U-turn intention or a left turn intention based on image information obtained by an imager. In response to determining that the driving intention of the user is the U-turn intention or the left turn intention an obstacle is detected that may cause a collision during a U-turn driving or a left turn driving based on the image information and obstacle information detected by an obstacle detector. In response, collision avoidance control is performed with the detected obstacle based on steering angle information of the vehicle.

Abstract: A vehicle system includes: at least one of (a) an advanced driving system configured to aid a driver of a vehicle in performance of at least one driving maneuver based on input from at least one of a sensor and a camera and (b) an advanced driving feature; and a usage module configured to: when the at least one of (a) the advanced driving system and (b) the advanced driving feature is off, determine whether the at least one of (a) the advanced driving system and (b) the advanced driving feature could be on and used based on at least one of: at least one present vehicle operating parameter; at least one present road parameter; at least one present traffic parameter; and at least one present environmental parameter.

Abstract: A method of operating a vehicle may include determining if a vehicle speed is controlled by a driver, and if the vehicle speed is controlled by the driver, determining if the vehicle is operating during night conditions. If the vehicle is operating during night conditions, activating a night drive mode that limits a maximum speed of the vehicle without regard to road speed limits.

Abstract: A vehicular orientation detection system (1) for detecting an orientation of a vehicle (5) traveling a road surface (100S) where magnetic markers (10) are laid includes sensor units (11) which each include a plurality of magnetic sensors arrayed in a vehicle width direction and measure a lateral shift amount with respect to the magnetic markers (10) and a control unit (12) which computes a difference between lateral shift amounts measured with any one of the magnetic markers (10) by front and rear sensor units (11) positioned at two locations separated in a longitudinal direction of the vehicle (5).

Abstract: An autonomous vehicle comprises a chassis, a plurality of wheels rotationally mounted to the chassis, wherein each wheel is characterized by a camber angle and a caster angle. The vehicle includes a vehicle dynamics prediction module for predicting a vehicle dynamics condition and for generating a control signal based on the vehicle dynamics condition and a wheel geometry adjustment mechanism connected to each of the wheels for automatically adjusting one or both of the camber angle and the caster angle in response to the control signal.

Abstract: A motion control system that can detect a change in a an operating characteristic and send a stabilizing command to an actuator system based on the change is described. A motion control component in the system includes a first component with an electropermanent magnet having a coil, differing first and second permanent magnet materials, and differing first and second states. The motion control component includes a second component configured to magnetically interact with the first component to define a damping characteristic that affects motion between the first component and the second component and a controller configured to supply a current pulse to the electropermanent magnet to switch the electropermanent magnet between the first and second states. The electropermanent magnet retains the respective first or second state after cessation of the current pulse.

Abstract: A method and activity recognition system for recognising activities in surrounding environment for controlling navigation of an autonomous vehicle is disclosed. The activity recognition system receives first data feed from neuromorphic event-based camera and second data feed from frame-based RGB video camera. The first data feed comprises high-speed temporal information encoding motion associated with change in surrounding environment at each spatial location, and second data feed comprises spatio-temporal data providing scene-level contextual information associated with surrounding environment. An adaptive sampling of second data feed is performed with respect to foreground activity rate based on amount of foreground motion encoded in first data feed. Further, the activity recognition system recognizes activities associated with at least one object in surrounding environment by identifying correlation between both data feed by using two-stream neural network model.

Abstract: A control method of an air conditioning system for compressor protection includes, when an air conditioner turn-on request is present, determining, by a controller, whether a compressor operating condition is satisfied from a refrigerant state of an air conditioner, when the compressor operating condition is determined as being satisfied, determining, by the controller, whether the vehicle is in a state of being unattended for a long period of time using information collected from a vehicle, when the vehicle is determined as being in a state of being unattended for a long period of time, performing, by the controller, pre-run control for operating the compressor in a predetermined minimum load condition; and when a pre-run operating time for which the compressor is operated in a minimum load condition reaches a predetermined pre-run holding time, interrupting, by the controller, the pre-run control with respect to the compressor.

Abstract: Disclosed are a vehicle including an electric motor and a method of controlling the same for providing a notification function to an occupant of the vehicle by controlling a pitching motion of a vehicle body. The method includes calculating a first torque value for providing the pitching motion based on driving state information including a vehicle speed, a driving mode, and an environment of a driving road; calculating a second torque value based on a request of a driver; and calculating a final torque value for controlling the electric motor based on the first torque value and the second torque value.

Abstract: The disclosure relates to a driver assistance method, in which a vehicle performs a driving manoeuvre automatically, and a braking device, in particular a parking brake, is at least partially actuated during the performance of the driving manoeuvre so that a braking action is constantly exerted on the wheels of at least one axle so that a drive of the vehicle operates counter to the braking action of the braking device in order to move the vehicle. According to the disclosure, during the driving manoeuvre at least one operating parameter which is related to an undesired increase in the braking action exerted on at least one wheel is detected and evaluated, and a braking action on at least one wheel is reduced in accordance with the result of said evaluation.

Abstract: The present invention relates to a method and a device for lifting a load, wherein at least one aerial drone carries at least a portion of the load. In order to lift a load, it is proposed to yoke together a plurality of aerial drones or at least one aerial drone and a lifting hook of a crane, and provide a common control system for the plurality of aerial drones or the at least one aerial drone and the lifting hook of the crane, in order not to have to control a plurality of aerial drones at the same time, or also an aerial drone in addition to the crane hook, using separate control means, in a “multi-handed” manner.

Abstract: A plurality of thermal images forward of a vehicle are collected. Thermal data in the plurality of thermal images is normalized based on an ambient air temperature to generate a plurality of normalized thermal images. The plurality of normalized thermal images are input to a machine learning program trained to output an identification of an object based on the ambient air temperature and a risk of collision between the vehicle and the object. A vehicle component is actuated based on the identification of the object and the risk of collision with the object.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to determine vehicle trailer weight. An example apparatus includes a first sensor disposed on a hitch coupled to a vehicle to measure a first rate of change of a weight of the vehicle. The example apparatus also includes a second sensor disposed on a chassis of the vehicle to measure a second rate of change of the weight of the vehicle. The example apparatus also includes a controller to monitor the first rate of change and the second rate of change to determine if the vehicle is improperly loaded.

Abstract: The technology relates to handling of self-reflections of sensor signals off of a portion of a vehicle that is operating in an autonomous driving mode. Vehicle pose information and sensor pose information are determined at a given point in time while operating in the autonomous driving mode. Return signals from one or more scans of the environment are received from onboard sensors such as lidar sensors. The system evaluates, based on the vehicle and sensor pose information, whether a segment between a given one of the one or more sensors and a received point from a selected one of the return signals crosses any surface of a 3D model of the vehicle. The received point is identified as a self-return point. In response to identifying the received point as a self-return point, the vehicle is able to perform a driving operation in the autonomous driving mode.

Abstract: A device for setting a target vehicle that sets a target vehicle to be subjected to driving assistance control of a host vehicle includes: a detection signal acquisition device capable of acquiring a first detection signal representing an object by an image, and a second detection signal representing the object by a reflection point; and setting control unit, which determines whether to set a forward object as a target vehicle, wherein if a movement history is not associated with the forward object, and a combination history is associated with the forward object, then as a selection threshold of a first determination parameter for determining whether to set the forward object as the target vehicle, a selection threshold is used such that the forward object is less likely to be selected as the target vehicle than with the selection threshold which would be used if a movement history is associated with the forward object.

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.