The present disclosure provides a method and system for vehicle driving data collection. The method includes: sending, by a vehicle central processor, a data collection instruction and a synchronization clock signal to each onboard sensor, wherein the data collection instruction is a control signal for the sensor to be turned on or off; converting vehicle driving data and environmental data collected by the onboard sensor into a digital signal, adding a time stamp to the collected vehicle driving data and environmental data, and transmitting uncompressed digital signal to the vehicle central processor through an optical fiber; and synthesizing, by the vehicle central processor, the collected vehicle driving data and environmental data, and synchronizing the collected vehicle driving data and environmental data according to the time stamp, to obtain a driving state of the vehicle.

A control device that controls a straddle type vehicle, the control device comprising: a route information acquisition unit configured to acquire information of a scheduled travel route of the straddle type vehicle; a weather information acquisition unit configured to acquire weather information corresponding to the scheduled travel route; a determination unit configured to determine whether the scheduled travel route of the straddle type vehicle is to be affected by weather based on the weather information; and a control unit configured to control a function related to a traveling state of the straddle type vehicle, based on a determination result of the determination unit.

Among other things, techniques are described for forecasting occupancy of a vehicle location. This includes receiving, by at least one processor, status information of a parking location the status information representing an availability of the parking location; predicting, by the at least one processor, a future status of the parking location based on the received status information; determining, by the at least one processor, a destination based on the predicted future status of the parking location; and providing, by the at least one processor, the predicted future status to a controller of a vehicle for controlling the vehicle to drive to the destination.

Technologies and techniques for carrying out an assisted lane change onto a deceleration lane, during which an intervention in an acceleration device may be carried out in an at least partially assisted manner as a function of a driver input on a driving lane of the roadway. The lane change from the driving lane onto the deceleration lane may be carried out in an at least partially assisted manner, wherein swarm data are received from at least one further motor vehicle, which carried out a lane change onto the deceleration lane at a crossing, and a change position for the lane change of the motor vehicle is determined as a function of the received crossing position. The lane change is carried out at the determined change position. Other aspects relate to a computer program product and to an assistance system.

A hybrid vehicle includes an engine which generates power by combustion of fuel; a drive motor which generates power, and is selectively operated as a generator to generate electrical energy; a battery which is connected to the drive motor and supplies electrical energy to the drive motor and charges the electrical energy generated in the drive motor; a battery management system which measures a State of charge (SOC) value of the battery; and a controller which is configured to determine a final target torque of the engine in a Hybrid Electric Vehicle (HEV) mode based on an SOC section in which the SOC value of the battery measured in the battery management system belongs.

A computer includes a processor and a memory storing instructions executable by the processor to receive data indicating that an electric vehicle is in an enclosed space; in response to receiving the data, instruct window actuators of the electric vehicle to open windows of the electric vehicle; and in response to receiving the data, instruct a heater of the electric vehicle to generate heat.

An apparatus, method and computer program product are provided for determining a state of visibility for a road object. In one example, the apparatus receives temporal data, calculates an orientation of a light source with respect to a road object using the temporal data, and predicts a state of visibility for the road object based on the orientation of the light source. In another example, the apparatus determines an artificial light source associated with a road object, receives attribute data associated with the artificial light source, determines a state of the artificial light source using the attribute data, and predicts a state of visibility for the road object based on the state of the artificial light source.

A computer-implemented method may include receiving, by a computing system on an autonomous vehicle, local weather data and routing data of the autonomous vehicle, the autonomous vehicle including a sensor platform mounted on the autonomous vehicle. The method may include based on the local weather data and the routing data, predicting, by the computing system using a thermal model, a thermal loading and a temperature of a component(s) of a sensor platform at one or more future times, the thermal loading and the temperature being during an operation of the autonomous vehicle. The method may include sending an overheating warning to a controller of the autonomous vehicle based on a determination that the thermal loading or the temperature of the component(s) exceeds a threshold. The method may include reporting a degraded state of the autonomous vehicle to park prior to a predicted overheating of the component(s).

Systems, apparatuses, and methods disclosed provide for receiving internal information, external static information, and external dynamic information of a hybrid vehicle, and selectively enable or disable a stop/start function for the engine of the hybrid vehicle based on the internal hybrid vehicle information, external static information, and external dynamic information. The stop/start function controls selective activation and deactivation of the engine during operation of the hybrid vehicle.

Systems and methods for vehicle-based weather detection are disclosed herein. The systems and methods can include selecting one or more vehicles from a plurality of vehicles based on one or more network membership parameters. One or more data acquisition networks can be formed using the one or more selected vehicles. Sensor data can be received from the one or more data acquisition networks. One or more weather conditions can be predicted using the sensor data. One or more environmental elements can be updated based on the predicted weather conditions.