Abstract: An electric vehicle for a race, including a drive wheel, an electric motor linked to the drive wheel, a battery that supplies power to the electric motor, a remaining battery level detection unit that detects a remaining level of the battery, a control unit that controls the electric motor, and a throttle operator that is connected to the control unit and is operated by a rider when the rider adjusts an output of the electric motor. The control unit includes a motor control section that controls the output of the electric motor based on an amount of operation of the throttle operator, a power consumption rate calculation section that calculates a power consumption rate of the electric motor after a start of the race, and a travelable time estimation section that estimates a travelable time based on the remaining level and the power consumption rate.

Abstract: Spin controller that can enable an autonomous vehicle (AV) to spin in place. A model predictive controller (MPC) can trigger the spin controller any time the MPC determines that a spin in place is required. In some configurations, the spin controller can move the AV to within 5° of the destination point. Spin controller can determine spin method based on the configuration of the AV, calculate an optimum turning path based at least on device mode and obstacles, and can enable the AV to spin in place.

Abstract: Aspects of the disclosure include the detection of battery cell degradation. An exemplary battery management system can include a memory, computer readable instructions, and one or more processors that perform operations that include: responsive to determining that a charging state has completed, measuring a first cell voltage of a cell of the battery pack; responsive to the first cell voltage exceeding a reference voltage, measuring a second cell voltage of the cell of the battery pack; responsive to the second cell voltage being equal to the reference voltage, measuring a cell pressure of the cell of the battery pack at the reference voltage; determining a difference between the cell pressure and a prior cell pressure at the reference voltage; and responsive to the difference between the cell pressure and the prior cell pressure exceeding a threshold, identifying the cell of the battery pack as a degraded cell.

Abstract: The disclosure provides a system, a method, and a computer program product for updating map data. The system, for example, obtains sensor data from one or more user equipment. The sensor data is associated with a road object. Further, the system, determines a first location of a road observation sight and a second location of the road object based on a timestamp associated with the first location. Further, a distance associated with the second location of the road object and a center point of a link, is calculated. The link is a map matched link associated with the second location. Further, the system updates the map data based on the calculated distance.

Abstract: Provided are systems and methods related to calibration courses and calibration targets, which can be configured for calibrating sensors used in vehicles, such as vehicles that include autonomous or semi-autonomous vehicle systems, or other mobile robots. As an example, a system can include a drivable path comprising a plurality of turns, a plurality of calibration targets proximate to the drivable path, and a plurality of obstacles in the drivable path. The plurality of calibration targets are positioned so as to be detectable by at least one sensor of a vehicle as the vehicle traverses the drivable path, and at least one particular obstacle of the plurality of obstacles changes an angle of the at least one sensor relative to at least one calibration target as the vehicle traverses the drivable path.

Abstract: A remote operation assistance device configured such that when an operator performs work through remote operation of a work machine, the remote operation assistance device moves the work machine to the position suitable for the work scheduled to be performed by the work machine in advance or changes the attitude of the work machine in advance so as to be suitable for the work. The present invention comprises a first assistance processing element configured to execute a first assistance process that is a process of acquiring schedule information from a database, determining based on the schedule information whether or not a preparation condition is satisfied, and transmitting, when the determination is affirmative, a preparation signal that is a control signal.

Abstract: Disclosed in the present disclosure are a dual-motor coupling driving system and a control method therefor. The dual-motor coupling driving system comprises a driving apparatus and a transmission apparatus; the driving apparatus comprises a first motor and a second motor; the first motor and the second motor are coaxially arranged, and an output shaft of the first motor passes through the second motor; the transmission apparatus comprises a first input shaft, a second input shaft, a first gear pair, a second gear pair, a third gear pair, a fourth gear pair, a first clutch unit, a second clutch unit, a first intermediate shaft, a second intermediate shaft, and a system output shaft; the first motor is connected to the first input shaft; the second motor is connected to the second input shaft; the first clutch unit is fixed on the system output shaft; and the second clutch unit is fixed on the second intermediate shaft.

Abstract: The present invention provides a robot dynamic obstacle avoidance method based on a multimodal spiking neural network. The present invention realizes a robot obstacle avoidance method in a dynamic environment by fusing laser radar data and processed event camera data and combining with the intrinsic learnable threshold of the spiking neural network for a scenario comprising dynamic obstacles. It solves the difficulty of failure of obstacle avoidance due to the difficulty in perceiving the dynamic obstacles in the obstacle avoidance task of a robot. The present invention helps the robot to fully perceive the static information and the dynamic information of the environment, uses the learnable threshold mechanism of the spiking neural network for efficient reinforcement learning training and decision making, and realizes autonomous navigation and obstacle avoidance in the dynamic environment. An event data enhanced model is combined to better adapt to the dynamic environment for obstacle avoidance.

Abstract: Provided are methods for autonomous vehicle and audio user guidance, which can include detecting user input at a first surface, determining context data associated with a feature of the first surface and providing an instruction associated with the context data. Systems and computer program products are also provided.

Abstract: An integrated monitoring apparatus is mounted on a vehicle. An evidence log collection unit that of the integrated monitoring apparatus starts collecting a log from an ECU mounted on the vehicle when a predetermined log collection start condition is met. A determination unit of the integrated monitoring apparatus determines whether the ECU is operating normally based on the log of the ECU collected. When the ECU is determined to be operating normally, the log collection unit of the integrated monitoring apparatus stops collecting the log from the ECU.

Abstract: An apparatus for controlling a braking force of a vehicle is provided. The apparatus includes a sensor device that obtains information about an image in front of the vehicle and driving information of the vehicle and a controller that determines a road surface state including a left road surface state and a right road surface state based on the information about the image and the driving information and controls a braking force of left wheels of the vehicle and a braking force of right wheels of the vehicle respectively based on the left road surface state and the right road surface state of the vehicle.

Abstract: A method for controlling propulsion of a marine vessel includes receiving a lock control instruction designating two locked axes and one unlocked axis out of a surge access, a sway access, and a yaw access. Upon receiving the lock instruction, a current GPS position and a current heading of the marine vessel are sensed and a movement track is defined for the unlocked axis based on the current GPS position and the current heading. The movement track is defined such that the vessel position with respect to each of the two locked axes is unchanged. A thrust command input is received and then at least one propulsion device is controlled to move the marine vessel on the movement track based on the thrust command input while automatically maintaining the vessel position with respect to each of the two locked axes.

Abstract: According to a method for object recognition by an active optical sensor system (2), a detector unit (2b) detects light (3b) reflected off an object (4) and generates a sensor signal (5a, 5b, 5c, 5d, 5e, 5f) on the basis thereof. A computing unit (2c) ascertains a first pulse width (D1) defined by a predetermined first limit value (G1) for an amplitude of the sensor signal (5a, 5b, 5c, 5d, 5e, 5f) as well as a second pulse width (D2) defined by a predetermined second limit value (G2). The signal pulse is assigned to one of at least two categories according to at least one predefined signal pulse parameter, and a scatter plot for object recognition is generated, said scatter plot containing exactly one entry for the signal pulse, said entry corresponding to the first pulse width (D1) or to the second pulse width (D2) according to the category to which the signal pulse belongs.

Abstract: A wireless communication device according to the present disclosure is set to be mounted on a vehicle including at least one wheel. The wireless communication device includes an input circuit, and an output circuit. The input circuit is set to connect to a lean angle detection circuit capable of detecting a lean angle of the vehicle with a traveling direction of the vehicle as a rotation axis. The output circuit is configured to repeatedly transmit a wireless signal including at least a position of the vehicle, a speed of the vehicle, and the lean angle of the vehicle at predetermined time intervals.

Abstract: The present disclosure is directed to deviating from a planned path for an autonomous vehicle. In particular, a computing system comprising one or more computing devices physically located onboard an autonomous vehicle can identify one or more boundaries at least in part defining a lane in which the autonomous vehicle is traveling along a path of a planned route. Responsive to identifying one or more obstructions ahead of the autonomous vehicle along the path, the computing system can: determine one or more deviations from the path that would result in the autonomous vehicle avoiding the obstruction(s) and at least partially crossing at least one of the one or more boundaries; and generate, based at least in part on the deviation(s), a motion plan instructing the autonomous vehicle to deviate from the path such that it avoids the obstruction(s) and continues traveling along the planned route.

Abstract: A apparatus for controlling displaying of a cluster for a vehicle and a method for the same includes a communication apparatus to support communication with the vehicle cluster, and at least one processor operatively connected to the communication apparatus. The at least one processor is configured to generate screen data associated with a first event occurring during a first driving cycle of the vehicle, transmits the screen data to the cluster through the communication apparatus, displays, on a first area of a display provided in the cluster, an object corresponding to the first event, based on the screen data. The object corresponding to the first event is displayed at any one of a plurality of positions specified in the first area, in sequence in which the first event occurs.

Abstract: Systems and techniques are described for improving the accuracy of autonomous vehicle simulations by dynamically assigning friction coefficients to road features based on sensor data. A method of the disclosed technology can include steps for associating a predetermined friction coefficient to road features; receiving sensor data from a sensor on an autonomous vehicle; identifying, from the sensor data, the presence of a road feature; assigning in a simulation, a friction coefficient corresponding to the road feature based on the predetermined friction coefficient associated with road feature; and generating, based on the assigned friction coefficient, a simulation of a trip by the autonomous vehicle as the autonomous vehicle traverses the road feature.

Abstract: A collision risk calculation unit (12) calculates a collision risk between a vehicle B and each of a plurality of objects C to G present in a traveling direction of the vehicle B. An object selection unit (13) determines a transmission order of pieces of information on the individual objects C to G based on the collision risk, and transmits the pieces of object information to the vehicle B based on the transmission order.

Abstract: A method for operating an autonomous wheeled device, including: obtaining first data indicative of objects within an environment; generating, with a processor of the autonomous wheeled device, a map of the environment using the first data; transmitting, with the processor, first information to an application of a smartphone; proposing, with the application, a suggested schedule for the autonomous wheeled device; receiving, with the processor, second information from the application of the smartphone; and actuating, with the processor, the autonomous wheeled device to operate according to the new schedule or the adjustment to the existing schedule and the suggested schedule, wherein the processor only actuates the autonomous wheeled device to operate according to the suggested schedule after the application receives approval of the suggested schedule.

Abstract: Systems and methods for robotic disinfection and sanitation of environments are disclosed herein. The robotic devices disclosed herein may detect and map locations of pathogens within environments. The robotic devices disclosed herein may utilize data from sensor units to sanitize objects using desired methods specified by operators. The robotic devices disclosed herein may sanitize environments comprising people.