The disclosure generally pertains to systems and methods to classify a road based on a level of support offered by the road for autonomous driving operations. An example method may involve a computer receiving sensor data from a vehicle, the sensor data containing information about a current functional condition of a road. The computer may predict a future functional condition of the road by using a deterioration model to evaluate the sensor data. The computer may then determine a level of support offered by the road for autonomous driving operations based on the future functional condition of the road, and assign a classification to the road based on the level of support offered by the road for autonomous driving operations. The level of support offered by the road for autonomous driving operations may also be based on items such as road markings, traffic signs, traffic signals, and/or infrastructure elements.

A collision avoidance system may validate, reject, or replace a trajectory generated to control a vehicle. The collision avoidance system may comprise a secondary perception component that may receive sensor data, receive and/or determine a corridor associated with operation of a vehicle, classify a portion of the sensor data associated with the corridor as either ground or an object, determine a position and/or velocity of at least the nearest object, determine a threshold distance associated with the vehicle, and control the vehicle based at least in part on the position and/or velocity of the nearest object and the threshold distance.

A method for operating a vehicle in particular a commercial vehicle having electric energy storage and an electric driving machine, includes determining an absorbable amount of energy of the electric energy storage, determining a driving route drivable by the vehicle at least partially in an overrun mode, and determining a recuperation power by which the vehicle may by operated along the driving route and/or determining a target speed at which the vehicle is to be driven on the driving route, such that at the end of the driving route the energy content of the energy storage has been increased by the determined absorbable amount of energy. Also provided is a device, a computer program product and a storage medium for the energy management of an electrically driven vehicle as well as such vehicle.

A vehicle position correction apparatus and a method thereof may include a learner that deep learns a model which predicts a position of a probe vehicle based on driving information of the probe vehicle traveling on a road, a communication device that receives driving information of a target vehicle from the target vehicle, and a controller that obtains a predicted position of the target vehicle based on the model on which the deep learning is completed and corrects an actually measured position of the target vehicle to the predicted position of the target vehicle.

An integrated circuit for use in a first vehicle may include: an interface circuit that communicates with a second integrated circuit in a second vehicle; and a processing circuit. During operation, the processing circuit may determine that the second vehicle has better situational awareness for a portion of a road or an environment proximate to the road than the first vehicle, where the second vehicle is proximate to the first vehicle. Then, the processing circuit may dynamically establish, with the second integrated circuit, a communication pairing with the second vehicle. Moreover, the integrated circuit may exchange, via the pairing, information with the second integrated circuit. For example, the exchanged information may include or may specify: measurement data, one or more detected objects, one or more object identifiers, seed information for a detection technique (such as a priori information), and/or a priority or urgency of the exchanged information.

A method of controlling uphill driving of a hybrid vehicle provided with a dual clutch transmission (DCT) may include determining, by a controller, a driving state of a vehicle on the basis of information collected from the vehicle; when the vehicle is determined as being in a uphill driving state, performing, by the controller, high torque control on an engine of the vehicle by increasing an engine torque to control the engine at a predetermined high torque engine operating point and reducing a motor torque of a motor in the vehicle to satisfy a driver request torque; and during the performing of the high torque control on the engine, comparing, by the controller, a state of charge (SOC) value of a battery with a set first SOC threshold value, and when the SOC value of the battery is less than or equal to the first SOC threshold value, performing engine and motor speed control to defend the SOC value of the battery.

Systems and methods for determining the drivable space of a road, for applications such as autonomous navigation. To determine the non-drivable space under another vehicle, systems and methods of embodiments of the disclosure generate 3D bounding boxes from 2D bounding boxes of objects in captured roadway images, and from various geometric constraints. Image portions may be labeled as drivable or non-drivable according to projections of these 3D bounding boxes onto their road surfaces. These labeled images, along with accompanying semantic information, may be compiled to form training datasets for a machine learning model such as a CNN. The training datasets may train the CNN to classify input image portions into drivable and non-drivable space, for applications such as autonomous navigation.

Various embodiments include a method for controlling a motor vehicle having an internal combustion engine with a crankshaft and a drivetrain separable from the internal combustion engine using a releasable clutch comprising: propelling the vehicle in a first operating state in a predetermined range around a speed while the internal combustion engine is off and is separated from the drivetrain by the releasable clutch; sensing a braking operation while in the first operating state; predicting whether a power demand is expected within a predetermined time interval; and, if the power demand is expected, setting the crankshaft of the internal combustion engine in rotation, or increasing a rotational speed of the crankshaft in preparation for an engine restart.

A method and a control device for controlling speed of a vehicle having an automatic cruise control system configured to automatically control speed based on a set speed and to automatically reduce the speed to a predetermined safe speed below the set speed as it is detected that the vehicle approaches a road section of a predetermined type such as a curve. The method includes while automatically controlling the speed towards the predetermined safe speed as the vehicle approaches the road section of the predetermined type, receiving a request from a driver of the vehicle to control speed to a temporary speed different from the predetermined safe speed and the set speed. The method includes in response to said request, controlling the speed to the temporary speed. The method includes at an end of the road section of the predetermined type, automatically controlling the speed based on the set speed.

A method for determining running resistance of a vehicle includes receiving, by a controller, a rotation speed of a driving source of the vehicle and an inclination angle of a road on which the vehicle runs; determining a torque of the driving source according to the rotation speed of the driving source and determining the inclination angle of the road according to the torque of the driving source; determining whether the inclination angle exceeds the inclination angle of the road; determining that there is no object towed by the vehicle, and determining the running resistance of the vehicle based on the inclination angle according to the torque of the driving source, when the inclination angle is less than or equal to the inclination angle of the road; and controlling the driving source or a transmission of the vehicle based on the determined running resistance of the vehicle.