Abstract: Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of autonomous or semi-autonomous vehicles coordinated by a fleet management module. Each vehicle may be configured to receive a modular unit, wherein the modular unit is configured to secure a consumer product.

Abstract: A hydrodynamic intelligent robot and a control method thereof, the robot includes a moving platform, a hydrodynamic system and a dynamic intelligent system. The hydrodynamic system includes at least one nozzle mounted on the moving platform and a hydrodynamic device electrically connected to the dynamic intelligent system and connected to the at least one nozzle by a pipeline for spraying water so that the moving platform is rotated and moved by spraying water through the nozzle; the dynamic intelligent system is configured to control the hydrodynamic device according to input instructions, so as to indirectly realize vector control of the nozzle's water quantity and control the moving platform to move autonomously and intelligently. The present disclosure can monitor states of the moving platform by pre-inputting control instructions, and automatically determine numerical parameters needed to be adjusted by algorithm, so as to realize autonomous intelligent motion of the moving platform.

Abstract: A driving assistance system includes a target sensor; an operation amount sensor; a speed sensor; and an electronic control unit. The electronic control unit is configured to perform pre-collision control when a predetermined control start condition is satisfied, and not to perform, even when the predetermined control start condition is satisfied, the pre-collision control when a permission condition has not been established by a point in time at which the predetermined control start condition is satisfied. The permission condition is that the accelerating operation amount is equal to or larger than a first operation amount threshold value and the vehicle speed is equal to or less than a speed threshold value.

Abstract: A maintenance base controls a plurality of mobile robots providing a radio coverage area. The maintenance base instructs a mobile robot of the plurality of mobile robots to maintain a formation with the other mobile robots in the plurality of mobile robots such that the radio coverage area is provided, and instructs the mobile robot to rotate positions within the formation to maintain the radio coverage area as a further mobile robot in the formation leaves the formation and another mobile robot enters the formation. The mobile robot acts in accordance with the instructions of the maintenance base.

Abstract: A method for detecting changes in road information includes converting a captured road image and a projected road-layout map into first intermediate data and second intermediate data of a same feature space, respectively, and calculating the similarity between the captured road image and the projected road-layout map based on the first intermediate data and the second intermediate data Thereafter, the presence or the absence of changes in road information on the projected road-layout map is detected based on the calculated similarity.

Abstract: Systems and methods are provided for determining and correcting autonomous transport imbalances. A transport vehicle operates over a route. A fixture plate is coupled to the transport vehicle by a joint to carry a payload. A sensor determines a position of the joint. A controller modifies the operation of the transport vehicle in response to a change in the position of the joint to correct imbalances.

Abstract: Systems and methods for improving vehicular safety are disclosed. According to embodiments, an electronic device may collect or accumulate various sensor data associated with operation of a vehicle by an individual, including image data, telematics data, and/or data indicative of a condition of the individual. The electronic device may analyze the sensor data to determine whether the individual is distracted and whether the vehicle is approaching a location that may be prone to incidents. The electronic device may accordingly generate and present a notification to the individual to mitigate any posed risks.

Abstract: Methods and systems for enhancing the functionality of a semi-autonomous vehicle are described herein. The semi-autonomous vehicle may receive a communication from a fully autonomous vehicle within a threshold distance of the semi-autonomous vehicle. If the vehicles are travelling on the same route or the same portion of a route, the semi-autonomous vehicle may navigate to a location behind the fully autonomous vehicle. Then the semi-autonomous vehicle may operate autonomously by replicating one or more functions performed by the fully autonomous vehicle. The functions and/or maneuvers performed by the fully autonomous vehicle may be detected via sensors in the semi-autonomous vehicle and/or may be identified by communicating with the fully autonomous vehicle to receive indications of upcoming maneuvers. In this manner, the semi-autonomous vehicle may act as a fully autonomous vehicle.

Abstract: A method for performing a pickup/drop-off at a location includes providing, to an autonomous vehicle (AV), a parameter value of a parameter associated with the pickup/drop-off. The AV executes the pickup/drop-off according to the parameter value. After the pickup/drop-off is executed, feedback related to the parameter is received from a customer and from a tele-operator. The method also includes identifying other world objects present at the location during the pickup/drop-off and generating an optimized parameter value for executing the pickup/drop-off using the parameter value, the customer feedback, the tele-operator feedback, and other world objects.

Abstract: A vehicular control system includes a camera, a yaw rate sensor, wheel sensors, an accelerometer and a steering sensor. A control includes a processor that estimates the actual yaw rate of the vehicle based on (a) a first yaw rate derived from yaw rate data provided by the yaw rate sensor, and (b) at least one selected from the group consisting of (i) a second yaw rate derived from wheel sensor data provided by the wheel sensors, (ii) a third yaw rate derived from acceleration data provided by the accelerometer, and (iii) a fourth yaw rate derived from steering data provided by the steering sensor. The vehicular control system at least in part controls the vehicle based on (i) image data captured by the camera as the vehicle travels along a road and (ii) the estimated actual yaw rate of the vehicle.

Abstract: A watercraft control system is configured to track and follow a lead watercraft cruising ahead of a host watercraft. The watercraft control system basically includes a detector and a digital controller. The watercraft control system can be integrated with a main watercraft control system of the host watercraft, or can be an add-on watercraft control system that supplements the main watercraft control system of the host watercraft. The detector is configured to detect the lead watercraft in front of the host watercraft. The digital controller is configured to communicate with the detector's processor to receive a detection signal from the detector. The digital controller is configured to output at least one control command related to a propulsion direction of the host watercraft and a propulsion force of the host watercraft to at least a propulsion unit of the host watercraft to track and follow the lead watercraft.

Abstract: A leaning vehicle includes a leaning body frame, a left inclining wheel, a right inclining wheel, an another inclining wheel, a linkage mechanism, a leaning posture control actuator, a left inclining wheel torque applying unit, a right inclining wheel torque applying unit, and an integrated control device. The integrated control device controls a left inclining wheel torque applied to a left inclining wheel and a right inclining wheel torque applied to a right inclining wheel based on a lean torque applied to the linkage mechanism by the leaning posture control actuator. Alternatively, the lean torque applied to the linkage mechanism by the leaning posture control actuator may be based on the left inclining wheel torque applied to the left inclining wheel by the left inclining wheel torque applying unit and the right inclining wheel torque applied to the right inclining wheel by the right inclining wheel torque applying unit.

Abstract: A control device for controlling an electric motor vehicle drive having an electric drive, a first fuel-cell-based energy source, and a second fuel-cell-free energy source, has a human-machine interface for detecting a user input for selecting an operating mode for the motor vehicle drive and a control unit. The control unit is configured to receive a selection signal from the human-machine interface indicating a user input for selecting an operating mode for the motor vehicle drive and to control the motor vehicle drive in accordance with the selection signal to transfer the same into a first operating mode in which the first energy source is operated to supply the electric drive with electrical energy or to transfer the same into a second operating mode in which the first energy source is deactivated and in which the second energy source is operated to supply the electric drive with electrical energy.

Abstract: A conversion device for converting a guidance setpoint signal from an aircraft guidance system for at least one control axis, for example, into a control signal for an avionics system such as an aircraft stabilization system. The device may include comprising an acquisition module designed to acquire the guidance setpoint signal. The device may further include a generation module designed to generate the control signal from the acquired guidance setpoint signal. The control signal may include at least two command pulses. The generation module may be designed to calculate the duration between two consecutive command pulses depending on a corresponding value of the acquired guidance setpoint signal.

Abstract: A method of navigating an autonomous coverage robot on a floor includes controlling movement of the robot across the floor in a cleaning mode. A sensor signal indicative of an obstacle is received. The robot is rotated away from the sensed obstacle. A change in the received sensor signal during at least a portion of the rotation of the robot away from the sensed obstacle is determined. The sensed obstacle is identified based at least in part on the determined change in the received sensor signal.

Abstract: In exemplary embodiments, methods, communication systems, and vehicle systems are provided. In one exemplary embodiment, a vehicle system is provided that includes a fleet of vehicles and a remote server. The remote server is remote from the fleet of vehicles, and includes a transceiver and a processor. The transceiver is configured to receive, over a wireless communication network, a communication with a request for a command to be performed by the fleet of vehicles. The processor is configured to: (A) identify a plurality of vehicles of the fleet of vehicles subject to the command; and (B) provide instructions for each of the plurality of vehicles to perform a vehicle action corresponding to the command.

Abstract: A real-time customer survey system can be implemented by monitoring real-time and previous location data associated with a customer. The system can analyze the location data in accordance with customer preferences, customer social media profiles, and/or information that has been inferred by the system. The location data can be obtained in multiple forms including video, audio, wireless device communications, etc. The location data, in conjunction with customer preference data can be presented to the customer in the form of an avatar, an audio output, a video output, and/or haptic feedback.

Abstract: A full-vision navigation and positioning method for a smart terminal is proposed. The smart terminal turns on a 3D full visual navigation and performs a network speed test. When a network speed is higher than or equal to a threshold value, the smart terminal turns on a camera to obtain images of a current street view and upload the images. The smart terminal compares the images with a 3D panorama map to feedback a current position and utilizes a 3D navigation system to continue navigation according to the current position.

Abstract: Aspects of the disclosure relate controlling autonomous vehicles or vehicles having an autonomous driving mode. More particularly, these vehicles may identify and respond to other vehicles engaged in a parallel parking maneuver by receiving sensor data corresponding to objects in an autonomous vehicle's environment and including location information for the objects over time. An object corresponding to another vehicle in a lane in front of the first vehicle may be identified from the sensor data. A pattern of actions of the other vehicle identified form the sensor data is used to determine that the second vehicle is engaged in a parallel parking maneuver based on a pattern of actions exhibited by the other vehicle identified from the sensor data. The determination is then used to control the autonomous vehicle.

Abstract: A determination device determines a tendency of a driver who selects a parking space and includes an acquisition unit and a determination unit. The acquisition unit is configured to acquire information regarding an attribute of the parking space in a parking lot, information regarding behavior of a vehicle driven by the driver in the parking lot, and information regarding behavior of the driver when the driver is driving the vehicle in the parking lot. The determination unit is configured to determine the tendency of the driver when the driver selects the parking space, based on the information regarding the behavior of the vehicle or the information regarding the behavior of the driver and the information regarding the attribute of the parking space.