Abstract: Disclosed are probabilistic prediction for a motion of a lane-based surrounding vehicle and a longitudinal control method and apparatus using the same. The method includes obtaining surrounding vehicle information using a sensor, predicting a target lane of the surrounding vehicle based on the obtained surrounding vehicle information, performing future driving trajectory prediction for each target lane based on the surrounding vehicle information, and computing a probability of a collision likelihood based on a target lane and trajectory predictions of the surrounding vehicle in which future uncertainty has been taken into consideration and performing longitudinal control for collision avoidance.

Abstract: A driving torque command generating apparatus and method of operating a hybrid electric vehicle can obtain torsional state observation values using an engine speed, a motor speed, and a wheel speed detected by an engine speed detector, a motor speed detector, and a wheel speed detector, respectively, together with a motor torque command generated in a previous period, and generate an engine torque command and a motor torque command of a driving torque command based on a driving input value input by a driving input detector and the torsional state observation values.

Abstract: Generating control effort to control an autonomous driving vehicle (ADV) includes determining a direction (forward or reverse) in which the ADV is driving and selecting a driving model and a predictive model based upon the direction. In a forward direction, the driving model is a dynamic model, such as a “bicycle model,” and the predictive model is a look-ahead model. In a reverse direction, the driving model is a hybrid dynamic and kinematic model and the predictive model is a look-back model. Current and predicted lateral error and heading error are determined using the driving model and predictive model, respectively. A linear quadratic regulator (LQR) uses the current and predicted lateral error and heading errors to determine a first control effort An augmented control logic determines a second, additional, control effort, to determine a final control effort that is output to a control module to drive the ADV.

Abstract: A vehicle control apparatus includes: a transmission unit transmitting information to a control apparatus of an infrastructure in a non-contact manner, the information being on a vehicle driven by power supplied from a battery, which is rechargeable and is supplied with energy from the infrastructure of an outside in a non-contact manner; and a control unit acquiring information on a platoon of the vehicle from the outside by communication and causing the vehicle to travel according to the information on the platoon of the vehicle acquired.

Abstract: Techniques are provided for operating a vehicle in a first vehicle mode; operating at least one component of the vehicle in a first component mode; detecting a first change in operation of the vehicle from the first vehicle mode to a second vehicle mode different from the first vehicle mode; based on the detected the first change in the operation of the vehicle, predicting a second change in operation of the vehicle; in response to predicting the second change in operation of the vehicle, operating the at least one component in a second component mode different from the first component mode prior to the predicted second change in operation of the vehicle.

Abstract: An ECU operating as a vehicle control device, to be mounted on a truck tractor, has a hauling determination part and an automatic driving control part. The truck tractor is hauling/pulling a trailer. The hauling determination part detects whether the trailer is hauled by the truck tractor. The automatic driving control part switches an automatic driving mode between a first automatic driving mode and a second automatic driving mode on the basis of a detection result of the hauling determination part. The first automatic driving mode represents a situation in which the truck tractor is not hauling/pulling the trailer. The second automatic driving mode represents a situation in which the truck tractor is hauling/pulling the trailer.

Abstract: A method for navigation of a vehicle using point cloud decimation includes generating, by a processor circuit, a ground plane point cloud and an object point cloud. Generating the ground plane point cloud and the object point cloud includes performing point cloud decimation of a 3-D point cloud using ground plane segmentation. The further includes navigating, by the processor circuit, the vehicle using at least the object point cloud.

Abstract: A traveling control system comprises: a detection unit that detects another vehicle traveling in the periphery and peripheral environmental information; an acquisition unit that acquires, based on detected information, a range of a lane on which a self-vehicle travels; a first determination unit that determines, based on the detected information, approach of the other vehicle traveling in the periphery to the acquired lane, on which the self-vehicle travels; and a control unit that performs traveling control to increase a distance between the self-vehicle and the other vehicle if it is determined by the first determination unit that the approach by the other vehicle is made, wherein as the traveling control, the control unit moves a traveling position of the self-vehicle in a lateral direction different from a side of the other vehicle.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to predict a user arrival time based on data of a user and a user origin location, deactivate a propulsion of the vehicle upon arriving at the user origin location, and deactivate one or more additional vehicle components based on the user arrival time.

Abstract: A method of controlling an unmanned aerial vehicle includes receiving a first signal including information relating to a payload of the unmanned aerial vehicle, retrieving a predetermined value from a memory of the unmanned aerial vehicle based on the information of the first signal, and generating a second signal for changing a configuration of an arm of the unmanned aerial vehicle to change a distance of at least one of a plurality of propulsion units of the unmanned aerial vehicle corresponding to the arm from a reference point on a central body of the unmanned aerial vehicle based on the predetermined value.

Abstract: A hybrid electric vehicle or a battery electric vehicle has an electric machine, a traction battery, and an accessory powered by the traction battery. The vehicle includes a controller that, in response to a driver lifting their foot off the accelerator pedal, increases the negative motor torque produced by the electric machine for charging the traction battery to compensate for a load applied by the accessory. The controller increases negative motor torque as limited by a maximum motor torque limit. The accessory may be an electric air conditioning compressor and/or a DC/DC inverter.

Abstract: In one embodiment, driving faster than a speed limit can be avoided. In response to a current speed being greater than a local speed limit of the vehicle, a vehicle can determine a current vehicle pitch and determine a compensation acceleration to maintain constant velocity of the vehicle at the current vehicle pitch. A threshold control command is determined based on the current speed of the vehicle, and the compensation acceleration. The threshold control command determines whether the vehicle will accelerate or decelerate given the current vehicle pitch of the vehicle. If a driver's control command is greater than the threshold control command, the driver's control command can be overridden or modified to reduce the current speed of the vehicle.