Abstract: A system for detecting hands-on or off of a steering wheel and a method thereof, include a direct sensor configured for detecting a hands-on sense value depending on a grip area of the steering wheel; an indirect sensor configured for detecting a hands-on sense value depending on a magnitude of a torque for rotating the steering wheel; and a controller connected to the first sensor and the second sensor and combining a direct hands-on sense value detected by the direct sensor and an indirect hands-on sense value detected by the indirect sensor to each other to determine a grip state of the steering wheel depending on a combined hands-on sense condition, and then to display and warn a result of determining the grip state of the steering wheel through an output unit.

Abstract: Disclosed are a short cut-in target identification apparatus and an identification method thereof. The short cut-in target identification apparatus includes an occupancy distance map (ODM) information calculator configured to calculate ODM information based on subject vehicle and surrounding object information, a track information calculator configured to calculate track information based on the subject vehicle and surrounding object information, and a short cut-in target selector configured to select a short cut-in target based on the ODM information and the track information.

Abstract: Embodiments of the present application provide a charging and discharging device. The charging and discharging device includes an AC/DC converter, a first DC/DC converter, a second DC/DC converter and a control unit. The control unit is used to: receive a first charging request, the first charging request including a first charging voltage and a first charging current; set output power of the first DC/DC converter based on the first charging voltage and the first charging current; turn on the second DC/DC converter if an SOC of the energy storage unit is greater than a first threshold to charge the battery by the energy storage unit; and adjust output power of the second DC/DC converter, so as to enable a voltage difference between a bus voltage and a bus balance voltage of the charging and discharging device to be less than or equal to a preset value.

Abstract: Methods, systems, and computer readable mediums for determining a scene representation for a vehicle are provided. A disclosed method includes acquiring data from one or more sensors of the vehicle. The method further includes detecting, using processing circuitry, one or more objects in a surrounding of the vehicle based on the acquired data; determining whether an object of the detected one or more objects intersects with a vehicle lane of travel; determining whether the object is in a lane of travel of the vehicle; determining inter-vehicle gaps and cut-ins between the object and the vehicle; and rendering a scene representation including the inter-vehicle gaps and cut-ins between the object and the vehicle.

Abstract: A smart lawnmower and system and method for use of the same are disclosed. In one embodiment of the smart lawnmower, in a real world-to-simulated world (“real-to-sim”) training phase, the smart lawnmower constructs a simulated environment corresponding to a mowing-relevant portion of a real-world environment relative to semantic information, which may include received location signalization at an antenna In a simulated world-to-real world (“sim-to-real”) mowing phase, a mowing policy is applied to control the cutting subsystem and the drive subsystem in response to the semantic information, which may include the location signalization. In each of the real-to-sim training phase and the sim-to-real mowing phase, the smart lawnmower may provide a user interface including the simulated environment. Further, in the sim-to-real mowing phase, the smart lawnmower may synchronize the real world and the simulated world.

Abstract: A materials handling vehicle includes a camera, odometry module, processor, and drive mechanism. The camera captures images of an identifier for a racking system aisle and a rack leg portion in the aisle. The processor uses the identifier to generate information indicative of an initial rack leg position and rack leg spacing in the aisle, generate an initial vehicle position using the initial rack leg position, generate a vehicle odometry-based position using odometry data and the initial vehicle position, detect a subsequent rack leg using a captured image, correlate the detected subsequent rack leg with an expected vehicle position using rack leg spacing, generate an odometry error signal based on a difference between the positions, and update the vehicle odometry-based position using the odometry error signal and/or generated mast sway compensation to use for end of aisle protection and/or in/out of aisle localization.

Abstract: Systems and methods navigate a vehicle by determining a free space region in which the vehicle can travel. In one implementation, a system may include at least one processor programmed to receive from an image capture device, a plurality of images associated with the environment of a vehicle, analyze at least one of the plurality of images to identify a first free space boundary on a driver side of the vehicle and extending forward of the vehicle, a second free space boundary on a passenger side of the vehicle and extending forward of the vehicle, and a forward free space boundary forward of the vehicle and extending between the first free space boundary and the second free space boundary. The first free space boundary, the second free space boundary, and the forward free space boundary may define a free space region forward of the vehicle.

Abstract: A system for controlling blade tip clearances in a gas turbine engine may comprise an active clearance control system and a controller in operable communication with the active clearance control system. The controller may be configured to identify a cruise condition, reduce a thrust limit of the gas turbine engine to a de-rated maximum climb thrust, determine a first target tip clearance based on the de-rated maximum climb thrust, and send a command signal correlating to the first target tip clearance to the active clearance control system.

Abstract: In various examples, a deep learning solution for path detection is implemented to generate a more abstract definition of a drivable path without reliance on explicit lane-markings—by using a detection-based approach. Using approaches of the present disclosure, the identification of drivable paths may be possible in environments where conventional approaches are unreliable, or fail—such as where lane markings do not exist or are occluded. The deep learning solution may generate outputs that represent geometries for one or more drivable paths in an environment and confidence values corresponding to path types or classes that the geometries correspond. These outputs may be directly useable by an autonomous vehicle—such as an autonomous driving software stack—with minimal post-processing.

Abstract: An apparatus for a vehicle includes: a first collection unit configured to collect a plurality of consecutive forward image frames captured by a camera during forward driving of the vehicle; and a driving route generation unit configured to derive a forward driving trajectory during the forward driving of the vehicle, based on matching of common feature points present in the plurality of consecutive forward image frames, and generate the derived forward driving trajectory as a backward driving prediction route.

Abstract: A steering system includes a rotary shaft to which an operation member is coupled; a first actuator; a second actuator; a control unit; and a moving unit configured to move the operation member between a normal position and a storage area. The control unit is configured to switch between a manual drive mode and an autonomous drive mode. The control unit is configured to, when moving the operation member from the storage area to the normal position, start synchronous control when the operation member satisfies a predetermined condition before the operation member reaches the normal position, the synchronous control being control in which the control unit controls the first actuator to change a rotation angle of the rotary shaft to an angle corresponding to a steered angle of steered wheels driven by the second actuator.

Abstract: An autonomous tilting three-wheeled vehicle comprises a pair of front wheels coupled to a tiltable chassis by a mechanical linkage, such that the pair of wheels and the chassis are configured to tilt in unison with respect to a roll axis of the chassis. An electronic controller of the autonomous vehicle controls a tilt actuator to selectively tilt the chassis. Optionally, a steering actuator is coupled to the front wheels and controlled by the electronic controller to selectively steer the wheels. A sensor configured to measure orientation-dependent information may be coupled to the chassis by a gimbal configured to compensate for vehicle tilt. In some examples, the autonomous vehicle comprises an autonomous delivery robot.

Abstract: A hydraulic system for controlling a pair of steerable caster wheels includes a left steering command valve, a right steering command valve, and a rear steering control valve. A supply pressure fluid circuit interconnects a pressure source and the rear steering control valve. A command valve supply fluid circuit interconnects the rear steering control valve with both the right steering command valve and the left steering command valve. A left side steering fluid circuit interconnects a left side actuator and the left steering command valve. A right side steering fluid circuit interconnects a right side actuator and the right steering command valve. A fluidic tie rod fluid circuit interconnects both the left side actuator and the right side actuator with the rear steering control valve. A tank return fluid circuit interconnects the rear steering control valve, the left and right steering command valves, and a tank.

Abstract: An apparatus including a capture device and a processor. The capture device may be configured to generate a plurality of video frames corresponding to users of a vehicle. The processor may be configured to perform operations to detect objects in the video frames, detect users of the vehicle based on the objects detected in the video frames, determine a limitation profile for the users, monitor for conditions provided by the limitation profile and generate a reaction if one or more of the conditions are met. The limitation profile may be determined in response to characteristics of the users. The characteristics of the users may be determined by performing the operations on each of the users.

Abstract: The disclosure relates to a sensor module, in particular for a safety system of a motor vehicle, having a carrier substrate, having a plurality of functional units that are arranged on or at the carrier substrate and are electrically connected to one another, wherein at least one functional unit is a sensor, having at least one analog-to-digital converter, having a communication device and optionally having a linearizer and/or compensator. There is provision for only analog functional units to be present as functional units and for the at least one analog-to-digital converter to be connected on the output side directly to the communication device.

Abstract: The present teaching relates to method, system, medium, and implementation of automatic motion planning for an autonomous driving vehicle. Information is obtained with respect to a current location of the autonomous driving vehicle operating in a current vehicle motion, wherein the information is to be used to estimate the operational capability of the autonomous driving vehicle with respect to the current location. Sensor data are obtained, via one or more sensors in one or more media types. A reaction of a passenger present in the vehicle with respect to a current vehicle motion is estimated based on the sensor data. Motion planning is performed based on the information with respect to the current location and the reaction of the passenger to the current vehicle motion.

Abstract: A system for localizing a vehicle in an environment having a computing device comprising a processor and a non-transitory computer readable memory, a first map data stored in the non-transitory computer readable memory, where the first map data defines features within an environment used to localize a vehicle within the environment, and a machine-readable instruction set. The machine-readable instruction set causes the computing device to: determine a portion of the first map data having a first type of road, determine a first accuracy specification for the first type of road, wherein the first accuracy specification identifies one or more features of the plurality of features defined in the first map data used to localize a vehicle traversing the first type of road within a predefined degree of accuracy, and create a second map data for the first type of road.

Abstract: Technologies are provided for detecting anomalous data at runtime in an autonomous vehicle component that is indicative of a byzantine fault, and providing real-time remediation. Input and output data streams of the vehicle component can be analyzed to generate a normal operational model for the vehicle component. Using the model, deviations from a known steady state of operation of the vehicle component can be detected and flagged as potential faults. The vehicle component can then be isolated and/or restarted. Additionally or alternatively, a specification can be defined that specifies allowed component interactions in the autonomous vehicle system. The specification can be used to generate tests that can be used to validate the functional correctness of the vehicle components. The specification can be used at run-time to detect component interactions that are not allowed. Such a disallowed component interaction can be detected using the specification and flagged as a potential fault.

Abstract: Systems and methods for reducing a current speed of a vehicle that can operate on solar energy to increase solar energy collection. The system may include a photovoltaic (PV) panel configured to receive sunlight to drive an electric motor, a solar loading sensor configured to detect solar load, a global position system (GPS) sensor configured to detect vehicle location data, a speed sensor configured to detect vehicle speed, and an electronic control unit (ECU) connected to the electric motor, the solar loading sensor, the speed sensor, and the GPS sensor. The ECU may determine whether the vehicle is exposed to solar load greater than a predetermined threshold value and, if so, present a driver of the vehicle a minimum acceptable speed to select based on sensor data and a difference of solar energy collection between the minimum acceptable speed and the current speed.

Abstract: Systems and methods for steering a vehicle that adjust how quickly a selected steering input is achieved based on a speed at which the vehicle is traveling are disclosed. The systems and methods include receiving a steering input, detecting a vehicle speed, and selecting a steering ramp rate that defines how quickly a steering amount corresponding to the steering input is achieved by one or more steerable components of the vehicle. In some implementations, the steering ramp rate may be affected as a result of whether the steering input is greater than or less than a previous steering input.