Abstract: An abnormality detection device 1 includes: a vibration acquisition unit 11 configured to acquire an acoustic signal generated during passage of a vehicle on a road; a frequency domain conversion unit 12 configured to convert the acquired acoustic signal into a frequency domain signal; an unexpectedness determination unit 13 configured to determine whether there is unexpectedness at each predetermined frequency using the frequency domain signal; and an abnormality determination unit 14 configured to determine whether there is an abnormality in the road based on the number of frequencies at which it is determined that there is the unexpectedness.

Abstract: Recent location and control information received from “lead” vehicles that traveled over a segment of land, sea, or air is captured to inform, via aggregated data, subsequent “trailing” vehicles that travel over that same segment of land, sea, or air. The aggregated data may provide the trailing vehicles with annotated road information that identifies obstacles. In some embodiments, at least some sensor control data may be provided to the subsequent vehicles to assist those vehicles in identifying the obstacles and/or performing other tasks. Besides, obstacles, the location and control information may enable determining areas traveled by vehicles that are not included in conventional maps, as well as vehicle actions associated with particular locations, such as places where vehicles park or make other maneuvers.

Abstract: The invention relates to a method for filtering an input signal (3b, 4b, 5b) relative to a physical variable of a turbine engine (9), the input signal being digitised, the method implementing frequency filtering of said signal in a computer (6) of a control system (7) of said turbine engine (9), said signal being provided at the input of the computer, a digital derivative of said signal being intended for being used by the control system (7), characterised in that it involves: —detecting an amplitude variation of said variable on said input signal, by a step of generating a second derivative signal (S) of the input signal and a step of comparing a value of the second derivative value of the input signal with at least one predetermined threshold (S1 . . .

Abstract: The present invention provides a vehicle control device capable of enhancing the ability of reducing or avoiding collision damage in a vehicle where a behavior of the vehicle when a braking operation is performed is largely influenced corresponding to a state of load (a loaded state), for example.

Abstract: A multi-intelligence federated reinforcement learning (FRL)-based vehicle-road cooperative control system and method at the complex intersection use a vehicle-road cooperative control framework based on the Road Side Unit (RSU) static processing module and the vehicle-based dynamic processing module. The historical road information is supplied by the proposed RSU module. The Federated Twin Delayed Deep Deterministic policy gradient (FTD3) algorithm is proposed to connect the federated learning (FL) module and the reinforcement learning (RL) module. The FTD3 algorithm transmits only neural network parameters instead of vehicle samples to protect privacy. Firstly, FTD3 selects only specific networks for aggregation to reduce the communication cost. Secondly, FTD3 realizes the deep combination of FL and RL by aggregating target critic networks with smaller Q-values. Thirdly, RSU neural network participates in aggregation rather than training, and only shared global model parameters are used.

Abstract: An emergency braking function control method of a vehicle includes detecting an obstacle ahead of the vehicle, the vehicle being in a state of being travelable in a forward direction using power of a power source, in response to the detecting, determining a first steering angle and a second steering angle, the first steering angle being a maximum steering angle at which the vehicle collides with the obstacle and the second steering angle being a steering angle at which the vehicle turns while maintaining a minimum safe distance from the obstacle, the first and second steering angles being determined based on a distance to the obstacle, a heading of the obstacle, and an input steering angle, and determining whether to change an emergency braking function based on the input steering angle, the first steering angle, or the second steering angle.

Abstract: Aspects of the disclosure provide a method that can include obtaining a to-be-traveled target route, and determining for a first road section and a second road section adjacent to each other in any two positions starting from the first one of the plurality of road sections, a travel time of the first road section according to first state data of the first road section based on a travel time selection model and a state data prediction model, and determining second state data of the second road section after the first road section is traveled through according to the travel time under the first state data. The method can further include continuing to determine a travel time of the second road section according to the second state data based on the travel time selection model and the state data prediction model, until a travel time of each road section is determined.

Abstract: There is provided an automatically guided vehicle (AGV), which is configured to detect if a payload mass differs significantly from a preset payload mass towed and/or carried by the vehicle, and if a payload mass different from the preset payload is detected, the control system of the vehicle is automatically updated to adjust either: i) the speed of the vehicle based on preset safety brake distance information associated with the detected different payload mass; or ii) increase the safety zone or switch to a safer safety zone in order to avoid collision with any obstacles.

Abstract: An apparatus and a method for an indicating system for ground support equipment for an electric aircraft is disclosed. The apparatus may include ground support equipment, wherein the ground support equipment may include at least a ground support module, wherein the at least a ground support module may be configured to support an operation of an electric aircraft, one or more housings, wherein the one or more housings may be configured to house the at least a ground support module, a cable module, wherein the cable module may be configured to connect the at least a ground support module and the electric aircraft, an indicator configured to indicate informatic communication of the at least ground support module and the cable module and a controller communicatively connected to the at least a ground support module and the cable module and configured to control the indicator.

Abstract: Various applications for use of mass estimations of a vehicle, including to control operation of the vehicle, sharing the mass estimation with other vehicles and/or a Network Operations Center (NOC), organizing vehicles operating in a platoon and/or partially controlling the operation of one or more vehicles operating in a platoon based on the relative mass estimations between the platooning vehicles. When vehicles are operating in a platoon, the relative mass between a lead and a following vehicle may be used to scale torque and/or brake commands generated by the lead vehicle and sent to the following vehicle.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for field operations based on historical field operation data. An example apparatus disclosed herein includes a field map generator to generate a field map including locations of a plurality of crop rows, the locations of the plurality of crop rows determined based on a first implement path travelled by a first implement of a first vehicle during a first operation, the first implement having a first operational width, the first implement path different from a first vehicle path of the first vehicle during the first operation, and a guidance line generator to generate a guidance line for a second vehicle during a second operation on the field, the second vehicle including a second implement to perform the second operation, the second implement having a second operational width different from the first operational width, the guidance line based on (a) the field map and (b) the second operational width.

Abstract: The disclosure generally pertains to recommending an alternative off-road track to a driver of a vehicle. In an example method, a processor receives a sensor signal that is generated in response to an operating condition of the vehicle on an off-road track. The operating condition can include, for example, an angular orientation of a chassis portion of the vehicle with respect to a ground surface (yaw, pitch, roll, etc.), steering characteristics, speed characteristics, and/or braking characteristics. The processor evaluates the sensor signal to identify an attribute of the off-road track, such as, for example, a difficulty factor and/or a challenge level. The processor may assign a track score to the off-road track based on the attribute and may provide to the driver, a recommendation for use of another off-road track based on comparing the first track score to a second track score associated with the other off-road track.

Abstract: A forward collision avoidance system of a vehicle includes a detector configured to detect an obstacle positioned ahead in a traveling direction of the vehicle; a processor; a memory coupled to the processor and storing an algorithm that, when executed by the processor, causes the processor to: estimate a gradient of a road on which the vehicle is traveling, and determine a braking strategy of the vehicle based on the estimated gradient, a position of the detected obstacle and a velocity of the vehicle; and a controller configured to control braking of the vehicle based on the braking strategy of the vehicle determined by the processor.

Abstract: A method for controlling sensors or components of a vehicle, using a control device. Measurement data of at least one sensor of the vehicle being received and evaluated. A traffic situation, in which the vehicle finds itself, is ascertained by evaluating the measurement data; and the at least one sensor and/or at least one component of the vehicle being activated, deactivated and/or set to a standby mode as a function of the ascertained traffic situation. A control device and a computer program are also described.

Abstract: A parking control apparatus and a parking control method are provided. According to at least one aspect, the present disclosure provides a parking control apparatus including a signal processor, a determinator, and a controller. the signal processor is configured to receive first to Nth radar signals reflected from first to Nth regions of a ground surface from one or more radars disposed in a vehicle and to calculate information about the first to Nth regions, wherein N is a natural number. the determinator is configured to determine whether the ground surface is a slope based on the information about the first to Nth regions and to determine whether parking the vehicle is possible. the controller is configured to generates control information for controlling parking of the vehicle according to a determination result of the determinator.

Abstract: Disclosed is a fall-resistant control method for an intelligent rollator, an intelligent rollator and a controller. The intelligent rollator has a vehicle body, front wheels and/or rear wheels configured at the bottom of the vehicle body and driven by a motor.

Abstract: An autonomous driving system includes: a Human Machine Interface; and a control device configured to control autonomous driving of a vehicle, present a first operation instruction to a driver of the vehicle during the autonomous driving, the first operation instruction requesting the driver to perform a first response operation performed in response to a first request or a first proposal by presenting the first request or the first proposal to the driver via the Human Machine Interface, and prohibit presenting a second operation instruction different from the first operation instruction until the first response operation is completed or until a timing at which the first response operation is predicted to be completed, the second operation instruction requesting the driver to perform a second response operation performed in response to a second request or a second proposal by presenting the second request or the second proposal.

Abstract: A managing apparatus provides self-driving of a vehicle, which allows the vehicle to enter a parking space out of a plurality of parking spaces from an outside of a parking lot including the plurality of parking spaces, and which allows the vehicle to leave the parking lot for a predetermined place in the outside. The managing apparatus is provided with: a wait time setting device configured to set a maximum wait time of the vehicle in the predetermined place; and a controller configured to set a driving route for returning the vehicle to the parking lot from the predetermined place on condition that the maximum wait time elapses from an arrival of the vehicle in the predetermined place, and configured to provide the self-driving of the vehicle along the driving route.

Abstract: A method including determining a direct distance between the vehicle position and a position of the roadside unit and a planar distance between the vehicle position in a horizontal plane containing the vehicle position, and a projection of the position of the roadside unit onto the plane. The method further includes calculating a height of a roadside unit relative to the vehicle position using the direct distance and the planar distance determined for the vehicle position. The method also includes setting a value indicative of the height of the roadside unit relative to the vehicle position as a height correction value and storing the height correction value of the vehicle position in association with information indicative of the vehicle position as the height correction function.

Abstract: A drive assistance device (24) for a saddle type vehicle (1) includes a ride sensor (37) configured to detect a ride attitude of a rider (J), a vehicle body behavior generating part (25) configured to generate a behavior on a vehicle body by a prescribed output, and a controller (27) configured to control driving of the vehicle body behavior generating part (25), the vehicle body behavior generating part (25) includes a brake device (BR) configured to brake a host vehicle, and wherein, when the brake device (BR) is actuated regardless of an operation of the rider (J), the controller (27) actuates the brake device (BR) according to the ride attitude of the rider (J) detected by the ride sensor (37).