Abstract: A vehicle includes a vehicle body, a wheel group connected to the vehicle body, a door disposed on the vehicle body and opened by an actuator in a first direction, and a planar light shielding member disposed on the door, having a variable light transmittance and including at least a first region and a second region that are disposed along the first direction. When the vehicle is in a first state, the first region and the second region of the light shielding member in the door have a first light transmittance. When the vehicle is in a second state, the second region remains at the first light transmittance, and the first region has a second light transmittance larger than the first light transmittance. Thereafter, an opening operation of the door in the first direction is completed.

Abstract: The present disclosure provides a cleaning robot and a movement control method thereof. Based on the method, during travel of the cleaning robot, three-dimensional information of an obstacle is acquired through a sensor system. When the obstacle moves within the detection range of the sensor system, when a distance between the obstacle and the cleaning robot along a central axis of the cleaning robot is less than a first preset detection threshold, and when a maximum value among included angles between connection lines constituted by a first reference point of the cleaning robot and second reference points of the obstacle and a current traveling direction of the cleaning robot is greater than a third preset detection threshold, an action away from the obstacle is intelligently performed.

Abstract: A control system an unmanned vehicle includes a first processing unit configured to execute a primary autopilot process for controlling the unmanned vehicle. The control system further includes a programmable logic array in operative communication with the first processing unit. The control system also includes a state machine configured in the programmable logic array. The state machine is configured to enable control of the unmanned vehicle according to a backup autopilot process in response to an invalid output of the first processing unit.

Abstract: A communication control method applied to a gateway of a vehicle includes: obtaining driving information and driving environment information of the vehicle; determining a communication parameter according to the driving information and the driving environment information of the vehicle; and sending the communication parameter to a plurality of vehicle on board controllers (VOBCs) of the vehicle. The communication parameter is selected form a group of a communication frequency, a communication rate, and a communication protocol, the plurality of VOBCs communicate with each other according to the communication parameter. A gateway and a vehicle are also disclosed.

Abstract: A refuse vehicle includes a chassis, a body assembly coupled to the chassis, the body assembly defining a refuse compartment, and a thermal event monitoring system. The thermal event monitoring system includes a plurality of sampling elements each configured to sample an environmental condition associated with a sampling location within the refuse compartment and a processing circuit operatively coupled to and configured to receive sampling data from the plurality of sampling elements and to determine a presence and location of a thermal event within the refuse compartment.

Abstract: The portable terminal is operated by an operator to operate the vehicle, and performs wireless communication with the vehicle. The portable terminal includes a sensor, a touch panel, and a processor. The sensor detects an inclination direction and an inclination angle of the portable terminal. The touch panel includes a display screen and detects touch of an operator on the display screen. The processor selects one of the first and second operation methods corresponding to the first and second holding methods of the portable terminal by the operator based on orientation information, generates travel control information for vehicle travel control based on the tilting operation of tilting the portable terminal during selection of the first operation method, and generates travel control information based on the tilting operation and the touch operation to a predetermined position on the display screen during selection of the second operation method.

Abstract: A control device controls a partition of a moving object including a first seat provided in the moving object, a second seat provided in the moving object, and the partition positioned between the first seat and the second seat and which is projectable. The control device includes a moving state determination unit that determines whether or not the moving object has transitioned to a predetermined moving state, and a partition control unit that automatically project the partition when the moving state determination unit determines that the moving object has transitioned to the predetermined moving state.

Abstract: A method for diagnostic monitoring of a vehicle brake-by-wire system for a vehicle may include recording a reference excitation profile of a reference brake-by-wire unit. The method further may include identifying one or more characteristic functions of the reference brake-by-wire unit based at least in part on the reference excitation profile. The method further may include determining a performance of a vehicle brake-by-wire unit based at least in part on the one or more characteristic functions. The method further may include performing a diagnostic action based at least in part on the performance of the vehicle brake-by-wire unit.

Abstract: In one embodiment, a method includes one or more computing systems determining a fleet-level objective for a vehicle. The fleet-level objective is associated with instructing the vehicle to travel a route according to route criteria based on the fleet-level objective. The one or more computing systems may determine one or more of an urgency score indicative of an urgency to fulfill the fleet-level objective or a risk factor score indicative of an overall condition of the vehicle. Based on one or more of the urgency score or the risk factor score, the one or more computing systems may select a particular operating mode from a plurality of operating modes for the vehicle to operate. The one or more computing system may instruct the vehicle to operate in the particular operating mode so as to fulfill the fleet-level objective.

Abstract: A safety system according to the present invention includes an on-ship system which is provided on a ship and a land system which is provided on land. The on-ship system and the land system each obtain, from a safety detection device and a safety maintenance device which are provided on a ship, data which has been detected by the safety detection device and a signal which indicates a state of the safety maintenance device, and, on the basis of the obtained data and signal, transmit to the safety maintenance device a control signal for controlling the safety maintenance device.

Abstract: A system and method for predicting traffic information are disclosed. The system includes a plurality of vehicles that transmits information obtained while traveling in a specified section, and a server that generates processed information based on the information received from the plurality of vehicles, predicts a traffic volume of the specified section at a first time point based on a traffic volume of the specified section and the processed information, and calculates a time required to travel the specified section based on the predicted traffic volume.

Abstract: Querying trajectories is disclosed. A database of rich typical trajectories, which includes both position and attribute information for each of the typical trajectories, is created. Using a current trajectory of a node or a current position of the node, the database is queried for a rich typical trajectory that likely corresponds to the current or anticipated trajectory of the node. The database is searched by identifying candidate trajectories and determining a similarity score for each of the candidate trajectories. The best scoring candidate trajectory may be returned and logistics operations may be performed using the best scoring candidate trajectory.

Abstract: Disclosed subject matter relates to field of autonomous vehicles that discloses method and system for training a lane tracking system and lane tracking for an autonomous vehicle. During training phase, lane tracking system receives ground truth and measured values corresponding to lane boundary detection points and determines ground truth and measured clothoid points. Thereafter, coefficient values of clothoid parameters are determined for measured clothoid points to model lane boundaries and then Kalman filter parameters are determined for coefficient values to track lane boundaries, using at least one neural network. Further, coefficient values of clothoid parameters are updated using Kalman filter parameters, using which, measured clothoid point is reconstructed, and used to track lane boundaries. Further, training error is obtained by L2 norm between clothoid points and not by coefficients, thereby enhancing training error minimization.

Abstract: A mobile drive apparatus is disclosed for use at a transport hub. The apparatus can include one or more drive motors configured to drive the apparatus from a first location to a second location within the transport hub. The apparatus can include a wireless communication module and antenna configured to form a wireless communications link with a resource management system and receive command instructions from the resource management system. The apparatus can include a control processor coupled to the one or more drive motors and coupled to the wireless communication module and antenna. The control processor can be configured to control the one or more drive motors to move the apparatus from the first location to the second location within the transport hub in response to receiving a command instruction from the resource management system via the wireless communication module.

Abstract: An automotive power system alters a maximum discharge power of a traction battery according to an estimated capacity of the traction battery that depends on a weight parameter having a value that changes according to a charge experienced by the traction battery during periods when a switch connects the traction battery with an electric machine.

Abstract: An occupant protection apparatus to be applied to a vehicle includes a contact sensor, an occupant detector, an electromagnetic wave sensor, a control processor, and a protection processor. The contact sensor detects contact of the vehicle. The occupant detector detects whether there is an occupant who is wearing a medical device in the vehicle when the contact sensor detects the contact of the vehicle. The electromagnetic wave sensor detects an electromagnetic wave. The control processor controls the vehicle to reduce the electromagnetic wave inside the vehicle based on a detection result of the electromagnetic wave sensor. The protection processor performs a protection process of protecting the occupant who is wearing the medical device, based on a detection result of the electromagnetic wave sensor after the control processor has controlled the vehicle.

Abstract: An electrified powertrain and method that generates and transfers drive torque to a driveline of an electrified vehicle is provided. The electrified powertrain includes an electric drive module (EDM) and a controller. The EDM includes an electric motor having an output, a transmission that is driven by the output of the electric motor, and a clutch that moves between (i) a closed position; (ii) an open position; and (iii) a plurality of slip positions between the closed and open positions. The controller controls the clutch based on operating conditions. The controller: commands a steady state clutch operation and electric motor torque based on a position of an accelerator pedal; determines whether an output torque of the electric motor is at a limit; and commands a simulated shift that modifies a position of the clutch based on a determination that the electric motor is at the limit.

Abstract: Guidance systems and methods for a material handling vehicle are provided. A guidance system can include a sensor and a processor unit. The sensor can be configured to measure a distance to an external object within a field of view of the sensor and output distance information corresponding to the measured distance. The processor can be configured to receive the distance information from the sensor, transform the distance information from a sensor coordinate system to a material handling vehicle coordinate system, perform pattern recognition on the transformed distance information to identify an aisle feature, create an aisle model based on the identified aisle feature, and determine a guidance instruction for the material handling vehicle based on the aisle model. The aisle model can include information corresponding to the aisle feature. The guidance instruction may be configured to align the material handling vehicle within an aisle.

Abstract: The present disclosure provides autonomous vehicle systems and methods that include or otherwise leverage a machine-learned yield model. In particular, the machine-learned yield model can be trained or otherwise configured to receive and process feature data descriptive of objects perceived by the autonomous vehicle and/or the surrounding environment and, in response to receipt of the feature data, provide yield decisions for the autonomous vehicle relative to the objects. For example, a yield decision for a first object can describe a yield behavior for the autonomous vehicle relative to the first object (e.g., yield to the first object or do not yield to the first object). Example objects include traffic signals, additional vehicles, or other objects. The motion of the autonomous vehicle can be controlled in accordance with the yield decisions provided by the machine-learned yield model.

Abstract: A vehicle front recognition apparatus includes an imager that captures an image of an environment ahead of a vehicle on the road, an image analyzer that analyzes the image of the environment with artificial intelligence to segment the image areas of the image by classes to which objects captured in the image belong, and a road information acquirer that acquires high-precision map information ahead of the vehicle. The vehicle front recognition apparatus acquires dynamic information that is not included in the high-precision map information from the classes. The image analyzer includes a feeling-of-strangeness area extractor extracting a feeling-of-strangeness area using the classes from the image areas. The vehicle front recognition apparatus further includes a feeling-of-strangeness area verifier that verifies whether the vehicle can pass through the feeling-of-strangeness area and a notifier that notifies a driver when the vehicle cannot pass through the feeling-of-strangeness area.