Abstract: A method for controlling a rotating electrical machine of a motor vehicle is disclosed. The motor vehicle includes a thermal drive chain including a heat engine connected to a gearbox by means of a clutch. The electrical machine is integrated in the thermal drive chain or in a drive chain independent of the heat engine. When the clutch is open and the rotating electrical machine operates in motor mode in order to ensure the electrical operation of the motor vehicle, the method includes: generating a setpoint torque corresponding to a desire of the driver to accelerate; determining a pulsed compensation torque for torque oscillations generated by the drive chain; combining the setpoint torque and the previously determined pulsed compensation torque in order to obtain a resulting modified setpoint torque; and applying the resulting modified setpoint torque to the rotating electrical machine.

Abstract: Disclosed herein is a control apparatus and method for improving fuel efficiency in a CACC system, which can improve fuel efficiency through control of a vehicle speed so that a vehicle travels using an optimized cost in consideration of a target vehicle speed, current vehicle speed, minimum driving speed set in the vehicle, and a deceleration distance if the vehicle that uses the CACC system senses a forward vehicle and enters into a CACC active mode. The control method for improving fuel efficiency in a CACC system includes setting a target speed profile based on a target speed of the subject vehicle and an expected driving path, determining whether a target vehicle to be followed by the subject vehicle exists, and controlling the driving speed of the subject vehicle according to the set target speed profile depending on whether or not the target vehicle exists.

Abstract: A system for navigating within a track network includes, as system components, a system central, a track maintenance machine and a communication device. The system central is set up for administering network data representing a model of the track network. The track maintenance machine is suited for treatment of track sections of the track network. The track maintenance machine includes a navigation device for processing navigation data derived from the network data. The communication device is provided for data exchange between the system central and the navigation device. The system includes at least one movable or stationary carrier platform with sensors for collecting raw data representing characteristic information of the track network. A big data framework is set up in the system central to evaluate the raw data and synchronize them with the network data. Automated updating of the network data can be carried out with the system.

Abstract: The present technology is effective to cause at least one processor to determine, based upon attributes of a sidewalk section and a height of a portion of an autonomous vehicle, a potential location for pick-up or drop-off of a passenger by the autonomous vehicle and navigate the autonomous vehicle to the potential location for pick-up or drop-off.

Abstract: A system and method including receiving a digital representation of a road that includes one or more lane representations; defining a factor graph including variable nodes and constraint nodes that encode lane boundary constraints for the lane map; translating the factor graph into a nonlinear optimization problem for altitudes of the lane map; generating a solution to the optimization problem; and generating a corrected lane map with an optimized altitude for the road based on the generated solution.

Abstract: An apparatus for ensuring a fail-safe function of an autonomous traveling system may include: a dead reckoning (DR) information input unit configured to receive plural pieces of sensing information outputted from a plurality of sensors mounted in a vehicle as DR information; an identification value calculation unit configured to calculate an identification value for determining whether the respective pieces of sensing information inputted through the DR information input unit are fails; and a fail determination unit configured to determine whether the plural pieces of sensing information inputted through the DR information input unit are fails, using the identification value calculated through the identification value calculation unit, wherein the identification value calculation unit is configured to calculate the identification value for determining whether the pieces of sensing information are fails, using a rule-based method.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed on the ego vehicle to facilitate autonomous driving of the ego vehicle needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor, with a first position of the ego vehicle or a first configuration of the sensor with respect to the ego vehicle. When a response of the request is received, an assisting vehicle is indicated to travel to be near the ego vehicle to facilitate the calibration of the sensor by collaborating with the moving ego vehicle and the ego vehicle coordinates with the assisting vehicle to enable the sensor to acquire information of a target present on the assisting vehicle for the collaborative calibration of the sensor.

Abstract: An inverter controller includes a processing circuitry. The processing circuitry is configured to obtain a command rotation speed transmitted repeatedly from outside of the inverter controller, count a command obtaining interval that is a period from a point in time where an old command rotation speed was obtained to a point in time where a new command rotation speed is obtained, set a target acceleration of the electric motor when the command rotation speed has been obtained, and control the inverter circuit such that the electric motor rotates at the set target acceleration. The processing circuitry is configured to calculate a command acceleration based on the counted command obtaining interval and the new command rotation speed, the command acceleration being set as the target acceleration.

Abstract: Pulsed control of electric motors, and more particularly, to selectively adjusting one or more of a pulsing frequency, an amplitude of the pulses and/or a duty cycle of the pulses for reducing Noise, Vibration and Harshness (NVH) while maintaining high levels of operating efficiency.

Abstract: An on-board thermal track misalignment detection system method therefor is presented. The system can use on-board locomotive sensors attached to an end-of-train device to detect (on the edge), signs and symptoms of thermal misalignments of the track. Once detected an alert can be transmitted to prevent potential derailments. The system can also include a forward-facing and rearward-facing imaging sensors (e.g., camera, LiDAR sensor, etc). The system can wirelessly communicate (e.g., via radio) with a leading locomotive to ensure proper air pressure and location. The system can be powered by an on-board battery and/or air pressure device. Advantageously, the system can calculate whether any rail deviation is significant (e.g., via one or more threshold values). The system can also leverage image processing functionality, executed by one or more processors) to find the centerline and the distance between the tracks.

Abstract: A scenario aware perception system (10) suitable for use on an automated vehicle includes a traffic-scenario detector (14), an object-detection device (24), and a controller (32). The traffic-scenario detector (14) is used to detect a present-scenario (16) experienced by a host-vehicle (12). The object-detection device (24) is used to detect an object (26) proximate to the host-vehicle (12). The controller (32) is in communication with the traffic-scenario detector (14) and the object-detection device (24). The controller (32) configured to determine a preferred-algorithm (36) used to identify the object (26). The preferred-algorithm (36) is determined based on the present-scenario (16).

Abstract: An electrified vehicle, system, and method include an electric machine, a traction battery coupled to the electric machine, and a controller programmed to control wheel slip to provide high wheel slip to traverse deformable terrain, such as sand or loose soil, and lower wheel slip to avoid excessive soil removal beneath the wheels after detecting a vertical acceleration or heave event, such as after landing when driving over a jump or bump. When vehicle vertical acceleration exceeds a first threshold, and a ratio of a wheel angular acceleration to vehicle longitudinal acceleration exceeds a second threshold, the electric machine is controlled to limit wheel slip to a lower value that provides sufficient tractive force to maintain some forward motion. Otherwise, the electric machine is controlled to limit wheel slip to a higher value to accommodate higher vehicle speeds over the deformable terrain.

Abstract: The railway vehicle is intended to run on a railway including at least one tunnel, wherein it includes a system for protection against pressure waves, and is configured to hermetically isolate the interior of the railway vehicle from the exterior of the railway vehicle when this protection system is activated. The vehicle includes a geolocation unit providing instantaneous geolocation coordinates of the railway vehicle, wherein a database includes fixed geolocation coordinates of an entry point of this tunnel for each tunnel of the railway, and a unit for comparing the instantaneous coordinates with the fixed coordinates, and wherein it is configured to indicate when the instantaneous geolocation coordinates of the railway vehicle substantially correspond to the fixed coordinates of the entry point of one of the at least one tunnels.

Abstract: A vehicle includes at least one wheel hub, a wheel hub speed sensor, and a controller. The wheel hub is configured to be coupled to a drive wheel. The wheel hub speed sensor is proximate to the wheel hub and is configured to generate a wheel hub speed signal that facilitates determination of a rate and direction of rotation of the wheel hub. The controller is configured to communicate power to a motor assembly coupled to the wheel hub to rotate the wheel hub at a particular rate and in a particular direction. The particular rate and the particular direction are associated with a particular position of a plurality of positions of a steering control.

Abstract: The methods and systems disclosed herein provide a server that periodically monitors a user's location using one or more beacons while periodically monitoring hazardous conditions using a variety of electronic sensors, such as thermographic imaging. When the user is within a predetermined proximity of a hazardous condition the server transmits an instruction to an electronic wearable device to present a notification (e.g., haptic, noise, and the like) warning the user of the hazardous condition.

Abstract: A method is provided. An unmanned aerial vehicle (UAV) is operated. A position of the UAV is determined while in flight, and a nonce is generated. A Merkel root is generated based at least in part on a timestamp and the position of the UAV. A current block is calculated based at least in part on a previous block, the Merkel root, and the nonce, and the current block, the timestamp, the nonce, the prior block, and the position of the UAV are transmitted.

Abstract: A control device and a control method can quickly estimate a self-location even when the self-location is unknown. In a case of storing information supplied in a time series detected by LIDAR or a wheel encoder and estimating a self-location by using the stored time-series information, when a position change happens unpredictably in advance such as a kidnap state is detected, the stored time-series information is reset, and then the self-location is estimated again. Example host platforms include a multi-legged robot, a flying object, and an in-vehicle system that autonomously moves in accordance with a mounted computing machine.

Abstract: An agricultural mowing system includes: a driving vehicle having a steerable axle and a pivotable tongue and defining a travel axis; a first mower coupled to the driving vehicle; a second mower coupled to the tongue; a tongue actuator configured to pivot the tongue; a tongue angle sensor configured to output signals corresponding to a tongue angle of the tongue; and a controller operatively coupled to the tongue actuator and the tongue angle sensor. The controller is configured to: determine a lateral overlap or underlap of the mowers exceeds a threshold value based at least partially on the tongue angle and a steering angle of the steerable axle; determine a correction angle needed for the tongue to pivot such that the lateral overlap or underlap no longer exceeds the threshold value; and output a correction signal to the tongue actuator to pivot the tongue by the correction angle.

Abstract: Systems, apparatuses and methods may provide for technology that generates a sequence of predictive maps based on a sequence of historical maps and overlays the sequence of predictive maps on one another to obtain a map overlay. The technology may also apply an attenuation factor to the map overlay. In one example, the map overlay includes a grid of cells and each cell includes an occupation probability in accordance with the attenuation factor.