Systems and methods for determining object intentions through visual attributes are provided. A method can include determining, by a computing system, one or more regions of interest. The regions of interest can be associated with surrounding environment of a first vehicle. The method can include determining, by a computing system, spatial features and temporal features associated with the regions of interest. The spatial features can be indicative of a vehicle orientation associated with a vehicle of interest. The temporal features can be indicative of a semantic state associated with signal lights of the vehicle of interest. The method can include determining, by the computing system, a vehicle intention. The vehicle intention can be based on the spatial and temporal features. The method can include initiating, by the computing system, an action. The action can be based on the vehicle intention.

A data map is modeled to generate a modeled data map, the data map including a calibration to control vehicle operation over various weather conditions encountered by a vehicle, the modeled data map characterizing data elements of the data map according to a mathematical model. The modeled data map is sent to the vehicle to expand into at least a portion of the data map to control the vehicle operation.

In one embodiment, a computer-implemented method for calibrating autonomous driving vehicles at a cloud-based server includes receiving, at the cloud-based server, one or more vehicle calibration requests from at least one user, each vehicle calibration request including calibration data for one or more vehicles and processing in parallel, by the cloud-based server, the one or more vehicle calibration requests for the at least one user to generate a calibration result for each vehicle. The method further includes sending, by the cloud-based server, the calibration result for each vehicle to the at least one user.

A system for controlling an autonomous vehicle is capable of predicting and eliminating a possibility of motion sickness before and during travelling of the autonomous vehicle. The system includes: a first control unit which compares a first vehicle motion sickness index that is determined by a travelling simulation with a first threshold set including passenger information before travelling and controls a boarding location of a passenger before travelling; and a second control unit which computes a passenger motion sickness index from passenger state information and vehicle state information detected during travelling, compares a second threshold indicating the degree of sensitivity to motion sickness according to passenger information during travelling with the passenger motion sickness index, and controls the autonomous vehicle so as to reduce or eliminate a generation of a motion sickness causing frequency.

A method for operating an automated vehicle. The method includes: detecting surroundings of the vehicle; providing surroundings data of the detected surroundings; supplying the surroundings data to a situation detection unit including a defined number greater than one of situation detection elements; computationally modeling the surroundings of the vehicle with the aid of the situation detection elements; activating driver assistance systems using output data of the models of the situation detection elements; deciding, with the aid of a decision-making unit, which output data of the models of the situation detection elements are used for activating an actuator unit of the vehicle; and activating the actuator unit of the vehicle using the decided-upon output data.

The disclosure relates to a method for operating a drive train of a working machine, wherein a traction drive of the drive train is driven by an electric traction motor via a transmission and wherein, when a gear stage of the transmission is changed, a rotational speed of the traction motor is synchronised with the gear stage being engaged. The method according to the disclosure further includes a computational model of the traction motor that is used for the rotational speed synchronisation. The model, taking into account a moment of inertia of the traction motor, describes a torque to be delivered for the rotational speed synchronisation. The disclosure further relates to a corresponding drive train and to a working machine.

The present disclosure relates to a method for generating training data for a recognition model for recognizing objects in sensor data of a vehicle. First sensor data and second sensor data are input into a learning algorithm. The first sensor data comprise measurements of a first surroundings sensor. The second sensor data comprise a measurements of a second surroundings sensor. A training data generation model is generated, using learning algorithm, that generates measurements of the second surroundings sensor assigned to measurements of the first surroundings sensor. First simulation data are input into the training data generation model. The first simulation data comprise simulated measurements of the first surroundings sensor. Second simulation data are generated as the training data based on the first simulation data using the training data generation model. The second simulation data comprise simulated measurements of the second surroundings sensor.

A traveling control apparatus is mounted on a vehicle that includes an electric motor and an internal combustion engine as power sources. The traveling control apparatus includes an electronic control unit configured to create a speed profile obtained by predicting speed of the vehicle at each time, derive, based on at least the speed profile, a coefficient profile that is a coefficient at each time used at the time of predicting an amount of regenerative energy recoverable by regenerative braking of the electric motor, approximate the speed profile with a predetermined approximation model and estimate a predicted amount of regenerative energy based on an approximation result and the coefficient profile, and determine the power source used for traveling based on the predicted amount of regenerative energy.

A system and/or a method for integrated auto-steering apparatus, auto-braking apparatus and auto-acceleration apparatus to facilitate actuating brake and turning steering wheel without a driver. The technology may be made as a part of Drive-By-Wire system to make the system retrofit using a spur gear train connected through a motor to make steering automatic, and using an electric actuator to make braking automatic, and integrating all the apparatus though a programmable logic controller to achieve navigation of autonomous vehicle. The complete system design fits at the steering column and the brake pedal to imitate exact behavior of human with sensor feedback system.

The present embodiments relate to selection and execution of one or more output actions relating to a modification of at least one feature of a vehicle. A series of sensors on a vehicle can acquire data that can be used to identify vehicle environment characteristics indicative of a status of a vehicle environment and an emotional state of the user. The vehicle environment characteristics and the emotional state can be processed using a user model that corresponds to a user to generate one or more selected output actions. The output actions can be executed on the vehicle to increase user experience. The output actions can relate to any of entertainment features, safety features, and/or comfort features of the vehicle.