Abstract: The disclosure relates to determining whether an optical interferent is located on a sensor window and providing a way to identify and discard erroneous sensor data. An example system includes a housing, having a first sensor window and a second sensor window, a laser light source, and an optical sensor. The first window has a first property for deflecting water, and the second window has a second property for deflecting water different from the first property. The source is configured to generate a beam of light through the first window. One or more processors are configured to receive sensor data from the optical sensor and determine that an optical interferent is located on a surface of at least one of the first window and the sensor window based on a comparison between sensor data corresponding to the first window and sensor data corresponding to the second window.

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing positioning data, a device, a storage medium and a vehicle. In the method according to the embodiments of the present disclosure, the vehicle is controlled to collect positioning data continuously in the five stages including a first stage for performing dynamic alignment, a second stage for traveling along a path of a character “8”, a third stage for collecting map data, a fourth stage for traveling along a path of the character “8”, and a fifth stage for performing the dynamic alignment, and processing of error convergence is performed on the positioning data collected in the third stage, according to the positioning data collected in the first stage, the second stage, the fourth stage and the fifth stage, to obtain the final positioning data after the error convergence.

Abstract: A system for improving transportation infrastructure includes a network access device to receive vehicle behavior data from multiple vehicles, the vehicle behavior data corresponding to at least one of driver-controlled vehicle behavior or autonomous vehicle behavior and including at least one of vehicle locations associated with the vehicle behavior data or infrastructure data indicating features of infrastructure associated with the vehicle behavior data. The system further includes a memory to store the vehicle behavior data including the at least one of the vehicle locations or the infrastructure data. The system further includes a processor to perform an analysis of the vehicle behavior data and the at least one of the vehicle locations or the infrastructure data and to identify an improvement to the transportation infrastructure to at least one of reduce traffic, increase driver comfort, or increase safety based on the analysis.

Abstract: An integrated technology platform enables any application of autonomous agricultural equipment operation in an agricultural or other off-road setting, within a common software structural architecture. The platform represents a technology stack that is a modular architecture for multiple use cases and vehicle types. The platform includes a vehicle interface component responsible for the physical interface to agricultural equipment, a telematics component that enables stable in-field communications between all aspects of the integrated technology platform, and a perception component that operates as a safety mechanism and includes object detection and classification. Additionally, a cloud-side application performs account management, field setup and syncing of field equipment and operating systems in a common operating system.

Abstract: Disclosed is a biosensor arrangement structure, including: a plurality of biosensors that is disposed in a seat for supporting an occupant and that measures a health condition of the occupant. The seat includes: a seat body for holding the occupant; and an auxiliary supporter for supporting a body part of the occupant except for a torso and thighs. At least one of the plurality of biosensors is disposed at the auxiliary supporter.

Abstract: A steering system includes a housing, a steering operation shaft that is housed in the housing and configured to move in an axial direction to steer right and left steered wheels, a first drive source that generates a first drive force, a second drive source that generates a second drive force, a first power transfer unit that applies an axial force to the steering operation shaft with the first drive source, a second power transfer unit that applies an axial force to the steering operation shaft with the second drive force, a position detection sensor that is provided in the housing and detects an axial position of the steering operation shaft, and a control device that controls the first drive source and the second drive source using a detection result of the position detection sensor.

Abstract: Provided are a method and a system for controlling operation of a crane, and a crane. The method includes: scanning dynamically, by a 3D imaging device, a plurality of objects within an operating range of the crane to obtain 3D spatial information of each of the plurality of objects, wherein the plurality of objects includes the crane and an obstacle, the 3D spatial information includes 3D spatial coordinates; determining a distance from the obstacle to a preset position of the crane based on the 3D spatial coordinates of the crane and the obstacle; judging whether the distance from the obstacle to the preset position is less than a preset distance corresponding to the preset position; and performing an alarm if the distance from the obstacle to the preset position is less than the preset distance corresponding to the preset position.

Abstract: The present disclosure relates to methods of enhancing a navigation solution about a device and a platform, wherein the mobility of the device may be constrained or unconstrained within the platform, and wherein the navigation solution is provided even in the absence of normal navigational information updates (such as, for example, GNSS). More specifically, the present method comprises utilizing measurements from sensors (e.g. accelerometers, gyroscopes, magnetometers etc.) within the device to calculate and resolve the attitude of the device and the platform, and the attitude misalignment between the device and the platform.

Abstract: A braking control device of a vehicle in which a braking force generator is connected to a differential mechanism to which a plurality of wheels is connected, and a friction brake is provided for each of the wheels includes a controller configured to control braking forces of the braking force generator and the friction brake. The controller is configured to: detect the wheel having a tendency of locking in which a slip ratio is larger than a predetermined determination value in a state where the braking force is transmitted to each of the wheels from the braking force generator via the differential mechanism; and reduce the tendency of locking by changing the braking force of the friction brake that is provided for the other wheel connected to the differential mechanism.

Abstract: Provided herein is a system and method for heat exchange of a vehicle. The system comprises an enclosure disposed on the vehicle and a vent at a base of the enclosure. The enclosure houses one or more sensors. The heat exchange system comprises an adjustable deflector disposed on the vehicle outside the enclosure and configured to direct an airflow into the vent of the enclosure. The heat exchange system further comprises a controller configured to adjust the adjustable deflector.

Abstract: The invention relates to a method for monitoring a state of wear of a damping device within a system. The system includes a vehicle seat having a first portion which is movably mounted in at least one direction with respect to a second portion, a damping device for damping oscillations is arranged between the first portion and the second portion, and a first sensor that determines an instantaneous relative position of the first portion with respect to the second portion. A displacement function in relation to the relative position of the first portion with respect to the second portion is defined as a function of time, and a current value of the displacement function is determined at selected intervals and summed. The sum is compared with a predetermined first limit.

Abstract: A system and method for learning naturalistic driving behavior based on vehicle dynamic data that include receiving vehicle dynamic data and image data and analyzing the vehicle dynamic data and the image data to detect a plurality of behavioral events. The system and method also include classifying at least one behavioral event as a stimulus-driven action and building a naturalistic driving behavior data set that includes annotations that are based on the at least one behavioral event that is classified as the stimulus-driven action. The system and method further include controlling a vehicle to be autonomously driven based on the naturalistic driving behavior data set.

Abstract: An apparatus of controlling a hybrid vehicle includes: an engine configured to generate power by combustion of fuel; a driving motor configured to assist power of the engine and selectively operate as a power generator to generate electric energy; an HSG configured to start the engine and selectively operate as a power generator to generate electric energy; a clutch provided between the engine and the driving motor; a battery configured to supply electric energy to the driving motor or charge electric energy generated in the driving motor; an EGR apparatus configured to resupply exhaust gas discharged from the engine to the engine; an electric supercharger in which outside air supplied to combustion chambers flows; and a controller configured to variably control a travelling mode, an operating point, a lock charge through the driving motor and the HSG, and a shifting pattern based on a required torque of a driver and a SOC of the battery.

Abstract: The present disclosure aims to implement UAV (unmanned aerial vehicle) logistics operation and air traffic control in flyable airspace technically through a UAV task planning system, which depends on blockchain technology to carry out UAV air traffic surveillance on flight segments in a predetermined barrier-free airway and optimize air traffic according to a safe separation distance for fewest UAV operators, air traffic controllers, communications links and airborne loads.

Abstract: A drive unit for an air deflector element of a motor vehicle includes a drive motor transmission unit formed by a drive motor connected with, as a single unit, at least one transmission, a control unit configured to control the drive unit, and a temperature sensor configured to detect a temperature of the drive unit.

Abstract: A method for moving a load with a crane in a collision-free manner in a space having at least one obstacle includes providing a position of the obstacle, providing at least one safe state variable of the load, determining from the safe state variable a safety zone surrounding the load, and dynamically monitoring the safety zone in relation to the position of the obstacle.

Abstract: A control system (100) for an emergency braking system (200) using at least one transmitter/receiver sensor (210) comprising: means for causing automatic transition, from a first state (310) in which the emergency braking system (200) is inactive to a second state (320) in which the emergency braking system (200) is active, in dependence upon satisfaction of a first condition (412); and means for causing automatic transition from the second state (320) to the first state (310) in dependence upon satisfaction of a second condition (421) different to the first condition (412) wherein transition from the second state (320) to the first state (310) does not occur in dependence upon the first condition (412) no longer being satisfied, and/or transition from the first state (320) to the second state (310) does not occur in dependence upon the second condition (421) no longer being satisfied.

Abstract: Systems and methods for distracted driving detection are described. A method includes receiving proximate vehicle data about a proximate vehicle proximate to the host vehicle. The method also includes estimating one or more baselines for a predetermined future time for the proximate vehicle from the proximate vehicle data. The method further includes comparing current kinematic data of the proximate vehicle data for the predetermined future time to the one or more baselines. The method includes generating distraction flags associated with the proximate vehicle based on the comparison. The method also includes controlling one or more vehicle systems of the host vehicle based on the generated distraction flags.

Abstract: The present disclosure describes systems and methods that include calculating, via a reinforcement learning agent (RLA) controller, a plurality of state-action values based on sensor data representing an observed state, wherein the RLA controller utilizes a deep neural network (DNN) and generating, via a fuzzy controller, a plurality of linear models mapping the plurality of state-action values to the sensor data.

Abstract: A method for an emergency response in the event of a loss of tire pressure of a transportation vehicle including detecting a tire pressure at a wheel of the transportation vehicle and detecting an angle of inclination on an axle of the transportation vehicle associated with the wheel, A transportation vehicle for autonomous driving.