A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

In one embodiment, control of an autonomous driving vehicle (ADV) includes determining a current scenario of the ADV. Based on the scenario, a control algorithm is selected among a plurality of distinct control algorithms as the active control algorithm. One or more control commands are generated using the active control algorithm, based one or more target inputs. The control commands are applied to effect movement of the ADV.

An information device is provided for informing a driver about a driving state of a motor vehicle drivable in an automated manner, the information device including a first control device for controlling automated driving of the motor vehicle and a second control device for controlling the automated driving of the motor vehicle, a first human-machine interface unit for communicating a driving state of the automated driving of the motor vehicle to the driver and a second human-machine interface unit for communicating the driving state of the automated driving of the motor vehicle to the driver, the first control device being designed for transmitting the driving state of the automated driving to the first human-machine interface unit and the second control device being designed for transmitting the driving state of the automated driving to the second human-machine interface unit.

A controller of an autonomous traveling vehicle as an information processing apparatus of the disclosure executes acquiring first information relating to a predetermined item and the first information relating to predetermined processing in a processing apparatus mounted on the autonomous traveling vehicle, acquiring second information relating to shipping of the predetermined item, controlling running of the autonomous traveling vehicle based on the second information, and controlling the operation of the processing apparatus based on the first information when the autonomous traveling vehicle is in a running state based on the second information.

In one embodiment, a computer-implemented method of operating an autonomous driving vehicle (ADV) includes perceiving a driving environment surrounding the ADV based on sensor data obtained from one or more sensors mounted on the ADV, determining a driving scenario, in response to a driving decision based on the driving environment, applying a predetermined machine-learning model to data representing the driving environment and the driving scenario to generate a set of one or more driving parameters, and planning a trajectory to navigate the ADV using the set of the driving parameters according to the driving scenario through the driving environment.

The disclosure relates to an automobile control system and associated automobile, method and computer program. The automobile control system comprising: one or more homologation-relevant subsystems (206, 208, 210); and a processor (204) configured to: configure the one or more homologation-relevant subsystems of an automobile when the automobile is in a non-compliant mode of operation so as not to satisfy a homologation requirement; automatically switch control of the automobile from the non-compliant mode of operation to a compliant mode of operation based on an operating parameter of the automobile; and configure the one or more homologation-relevant subsystems of the automobile when the automobile is in the compliant mode of operation so as to satisfy the homologation requirement. In a particularly relevant configuration, the non-compliant mode of operation is an off-road driving mode and the subsystem is an engine stop-start system.

Models can be generated of a vehicle's view of its environment and used to maneuver the vehicle. This view need not include what objects or features the vehicle is actually seeing, but rather those areas that the vehicle is able to observe using its sensors if the sensors were completely un-occluded. For example, for each of a plurality of sensors of the object detection component, a computer may generate an individual 3D model of that sensor's field of view. Weather information is received and used to adjust one or more of the models. After this adjusting, the models may be aggregated into a comprehensive 3D model. The comprehensive model may be combined with detailed map information indicating the probability of detecting objects at different locations. The model of the vehicle's environment may be computed based on the combined comprehensive 3D model and detailed map information.

Various technologies described herein pertain to sharing of detection of active emergency vehicles within an autonomous vehicle fleet. Information specifying detection of an active emergency vehicle at a first location in an environment is received. The active emergency vehicle is detected based upon sensor inputs of a first autonomous vehicle in an autonomous vehicle fleet. A second autonomous vehicle, at a second location, in the autonomous vehicle fleet is identified as being approached by the active emergency vehicle based on the information specifying the detection of the active emergency vehicle at the first location and the second location of the second autonomous vehicle. A remote assistance session for the second autonomous vehicle is caused to be initiated based on the second autonomous vehicle being identified as being approached by the active emergency vehicle. The second autonomous vehicle is controllable by a remote operator during the remote assistance session.

A method for operating a motor vehicle including a drive mechanism having at least a first drive unit and at least a second drive unit is provided. The method includes providing a drive torque directed at the driving of the motor vehicle in a first setting of the drive mechanism only by means of the second drive unit and in a second setting by means of both drive units, wherein upon exceeding a start-up threshold value by a demanded preset power there is a switching from the first setting to the second setting, and upon falling below a shut-off threshold value by the demanded preset power there is a switching from the second setting to the first setting. It is provided that the start-up threshold value and/or the shut-off threshold value is determined in dependence on a driving resistance of the motor vehicle and/or a vehicle weight of the motor vehicle. A motor vehicle employing the method is also provided.

Provided is an electronic control apparatus including a reconfigurable logic circuit. The electronic control apparatus includes an information collection unit which collects information and a processing determination unit which determines a combination of processing information to be executed by the logic circuit, from a processing information storage unit that stores a plurality of pieces of processing information, on the basis of the collected information. The logic circuit is reconfigured on the basis of the combination of processing information determined by the processing determination unit.