A method for managing energy consumption in a vehicle along a first route from a source location to a first target destination includes estimating an energy consumption, E.sub.PC, of the vehicle travelling from the source location to the first target destination along the first route. In case the amount of energy, E.sub.TOTAL, available in the vehicle is not on a level above E.sub.C that ensures arrival of the vehicle at the first target destination according to a first determined level of certainty, an estimated energy consumption, E.sub.AUX, of each auxiliary system on-board the vehicle for the first route, and an energy utilization information, EU.sub.INFO, indicating a priority level of each auxiliary system on-board the vehicle for the first route is obtained. An energy consumption adaption sequence of the auxiliary systems is determined for the first route based on the obtained E.sub.AUX and EU.sub.INFO of each auxiliary system such that E.sub.TOTAL is maintained on a level above E.sub.PC that ensures arrival of the vehicle at the first target destination according to a second determined level of certainty.

A method performed by an electronic device is described. The method includes obtaining sensor data corresponding to multiple occupants from an interior of a vehicle. The method also includes obtaining, by a processor, at least one occupant status for at least one of the occupants based on a first portion of the sensor data. The method further includes identifying, by the processor, at least one vehicle operation in response to the at least one occupant status. The method additionally includes determining, by the processor, based at least on a second portion of the sensor data, whether to perform the at least one vehicle operation. The method also includes performing the at least one vehicle operation in a case that it is determined to perform the at least one vehicle operation.

A vehicular driver assistance system includes a front camera module (FCM) disposed at a vehicle. The system, responsive to processing captured image data, generates FCM lane information including information regarding a traffic lane the vehicle is currently traveling along. An e-Horizon module (EHM) generates EHM lane information including information regarding the traffic lane the vehicle is currently traveling along. The vehicular driver assistance system determines an FCM correlation using the FCM lane information and sensor data captured by at least one exterior sensor. The vehicular driver assistance system determines an EHM correlation using the EHM lane information and the sensor data captured by the at least one exterior sensor. Responsive to determining the FCM correlation and the EHM correlation, the system controls lateral movement of the vehicle based on one selected from the group consisting of (i) the FCM lane information and (ii) the EHM lane information.

A speed control system to control retardation energy of a vehicle and a method of controlling retardation energy of a vehicle are provided. The system includes an energy storage device configured to absorb and store the retardation energy of the vehicle. The energy storage device includes a power absorption limit determined at least partially by a temperature and a state of charge of the energy storage device. The system further includes a non-energy-storing retarder configured to absorb the retardation energy of the vehicle and a controller configured to route the retardation energy to the energy storage device up to the power absorption limit and route a remaining portion of the retardation energy to the non-energy-storing retarder.

Disclosed is a vehicle path control apparatus including a memory provided to store danger driving vehicle data, a communication device provided to receive road information from an external server, and a processor configured to identify a danger driving vehicle driving on a road based on the road information and the danger driving vehicle data, select an unmanned vehicle driving within a preset distance from the danger driving vehicle based on the road information, generate a driving path of the unmanned vehicle for obstructing a course of the danger driving vehicle based on an expected path of the danger driving vehicle, and control the communication device to transmit information on the driving path to the unmanned vehicle.

An information processing apparatus includes a receiver configured to receive a data set including a requested acceleration as information representing movement of a vehicle in a front-rear direction and any one of a steering angle, a yaw rate, and a rotation radius as information representing movement of the vehicle in a lateral direction from each of a plurality of applications, an arbitration unit configured to perform arbitration of information representing the movement of the vehicle in the front-rear direction and arbitration of information representing the movement of the vehicle in the lateral direction based on a plurality of the data sets received by the receiver, and a first output unit configured to output instruction information for driving an actuator based on an arbitration result of the arbitration unit.

A method of managing operator take-over of autonomous vehicle. The method includes gathering information on an external surrounding of the autonomous vehicle; analyzing the gathered information on the external surrounding of the autonomous vehicle to determine an upcoming traffic pattern; gathering information on an operator of the autonomous vehicle; analyzing the gathered information on the operator of the autonomous vehicle to determine an operator behavior; predicting an operator action based on the determined upcoming traffic pattern and the determined operator behavior; and initiating a predetermined vehicle response based on the predicted operator action. The predicting the operator action includes comparing the determined upcoming traffic pattern with a similar historic traffic pattern and retrieving a historical operator action in response to the similar historical pattern.

An information processing apparatus includes a receiver configured to receive a data set including a requested acceleration as information representing movement of a vehicle in a front-rear direction and any one of a steering angle, a yaw rate, and a rotation radius as information representing movement of the vehicle in a lateral direction from each of a plurality of applications, an arbitration unit configured to perform arbitration of information representing the movement of the vehicle in the front-rear direction and arbitration of information representing the movement of the vehicle in the lateral direction based on a plurality of the data sets received by the receiver, and a first output unit configured to output instruction information for driving an actuator based on an arbitration result of the arbitration unit.

A method of monitoring a driver in an autonomous vehicle includes monitoring, with a driver monitoring system, a driver of a vehicle, collecting, with a data processor, data from the driver monitoring system related to gaze behavior of the driver, classifying, with the data processor, the driver as one of a plurality of driver statuses based on the data from the driver monitoring system, and sending, with the data processor, instructions to at least one vehicle system based on the classification of the driver.

In one embodiment, an ADV is routed by executing a first driving scenario that is active. The first driving scenario is one of a plurality of driving scenario types, each driving scenario type being associated with one or more stages to be executed while a corresponding driving scenario type is active. Based on an environmental condition around the ADV, a second driving scenario is set as active. The ADV is routed by executing the second driving scenario. When the second driving scenario exits, execution of the first driving scenario resumes at the one or more stages of the first driving scenario that remains to be executed.