Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining sensor data from sensors disposed to output data indicative of vehicle driver performance of a first vehicle, the first vehicle having for a first trip an associated first driver user who drives the first vehicle during the first trip; processing the sensor data to return error event flags that indicate errors of the first driver user when driving the first vehicle during the first trip; recording for respective event flags of the error event flags values of a first driving environment classification parameter and values of a second driving environment classification parameter; and predicting a driving performance of the first driver user for a second trip, the second trip being a proposed trip to occur after the first trip.

Systems of an electrical vehicle and the operations thereof are provided.

A method and a system for predicting a near future path and an associated output control signal for a vehicle. Prediction sensor data, vehicle driving data, and road data are collected. An input control signal indicative of an intended driving action is received. The sensor data and the vehicle driving data are pre-processed to provide a set of object data comprising a time series of previous positions of a respective object relative the vehicle, a time series of the previous headings of the object, and a time series of previous velocities of the object. The object data, the road data, the vehicle driving data, the control signal, and the sensor data are processed in a deep neural network. Based on the processing in the deep neural network, a predicted path output and an output control signal are provided.

Disclosed herein is a method of more quickly heating the cabin air in a hybrid electric vehicle. In one aspect, when a switch is engaged, and a temperature sensor indicates that an ambient temperature is below a predetermined threshold, and an engine coolant temperature is below a predetermined threshold, the method allows for operation of the vehicle in a charge sustaining mode in order to increase the load on the engine and generate more heat for the cabin.

Systems, methods, and computer program products for upgrading a vehicle's functionality based on the manner in which the vehicle is operated. A predefined operating condition of the vehicle that can be assisted by a vehicle feature not presently provided by the vehicle is identified. Thereafter, a notification is communicated to a user interface that indicates availability of the vehicle feature. Subsequently, the vehicle is upgraded to provide the vehicle feature responsive to input to the user interface submitting a request to perform the upgrade.

A vehicle control handoff system includes a controller comprising a processor and a non-transitory computer readable memory, one or more environment sensors and an imaging device communicatively coupled to the controller, and a machine-readable instruction set stored in the non-transitory computer readable memory of the controller. The machine-readable instruction set causes the system to: receive image data from at least one imaging device, receive one or more signals corresponding to an environment of a vehicle from the one or more environment sensors, define a gaze pattern comprising a first gaze direction corresponding to a first location within the environment of the vehicle, determine a first gaze based on the image data of the driver, determine whether the first gaze corresponds to at least one gaze direction of the gaze pattern, and transfer control of a vehicle operation from control by the controller to the driver in response to determining that the first gaze corresponds to the gaze pattern.

Methods and systems are provided for reducing bleed emissions and exhaust emissions from a vehicle that may be operated autonomously as well as part of a car-sharing model. A parking location of the vehicle is selected at the end of a vehicle event requested by an operator as a function of fuel system and evaporative emissions system variables such that the solar loading of the parking location enables reduced emissions. The parking location selection is further coordinated with the pick-up time and location of a subsequent vehicle event requested by another vehicle operator.

In one embodiment, a first set of driving statistics is measured and collected from an autonomous driving vehicle (ADV) at different points in time in response to various control commands while the ADV is driving in various driving environments. Based on the first set of driving statistics, a search is conducted in each of the load calibration tables to find a load calibration table having similar driving statistics. One of the load calibration tables is selected, which contains a second set of driving statistics that are most similar to the first set of driving statistics. A current load of the ADV is determined based on the selected load calibration table, for example, by designating the load associated with the selected load calibration table as the current load of the ADV. The load of the ADV can be utilized as a factor for generating subsequent control commands for the ADV.

In one embodiment, in response to a first control command originated from a driver of an ADV, an expected acceleration of the ADV in response to the first control command is determined in view of a current speed of the ADV under the standard driving environment (e.g., dry road, flat road surface, normal tire pressure, zero load). One of the command calibration tables is selected based on a current driving environment of the ADV at the point in time. A lookup operation is performed in the selected command calibration table to obtain a second control command based on the current speed and expected acceleration of the ADV. The second control command is then issued to the ADV to control the ADV. As a result, the ADV would have reached the same acceleration under the current driving environment as if the ADV was driving in the standard driving environment.

An exemplary method for detecting a lateral oscillation of a vehicle includes monitoring yaw rate data and lateral acceleration data of the vehicle, analyzing the yaw rate and lateral acceleration data to generate a yaw rate signal energy distribution and a lateral acceleration signal energy distribution, determining whether a series of conditions are satisfied; and if the conditions are satisfied, automatically controlling the actuator to reduce the lateral oscillation of the vehicle. In some examples, the series of conditions includes the detection of spikes in the yaw rate and lateral acceleration data at approximately the same frequency, a magnitude of the spikes exceeding a first threshold, and a phase shift between the yaw rate and lateral acceleration data exceeding a second threshold.