Embodiments herein relate to a method for handling a driver's use of an object displaying device comprised in a vehicle. The driver's use of the object displaying device is monitored. Based on the monitoring, a likelihood that the driver has detected a representation of the object when using the object displaying device is determined. The representation of the object is visible to the driver in the object displaying device, and the object is located in the surroundings of the vehicle.

The present disclosure relates to adaptive cruise control in the field of automatic driving, and discloses a vehicle control method, an apparatus, an electronic device and a storage medium. A specific implementation is: firstly, determining a target travelling scenario according to real-time monitoring data upon fulfilment of a preset update condition; then, determining a target time headway according to the target travelling scenario, where the target time headway is used to dynamically adjust a relative motion state between an host vehicle and a surrounding vehicle; and finally, controlling a vehicle according to the target time headway. It solves the problem of the prior art in overemphasizing the state of the vehicle ahead for automatic driving control while overlooking the perception of the driver or passenger of the host vehicle in the travelling scenario can prompt the driver to manually intervene, compromising the experience of the automatic driving.

A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to cause the processor to determine a perception zone of interest, via a trained perception model, based on at least one of a vehicle parameter or planning data, wherein the vehicle parameter comprises at least one of a vehicle direction or a vehicle speed and the planning data comprises a route and trajectory to be traversed by the vehicle; determine a vehicle route and trajectory based on a subset of sensor data, wherein the subset of sensor data corresponds to the perception zone of interest; and operate the vehicle to traverse the vehicle route and trajectory.

System, methods, and other embodiments described herein relate to improving identification of a path for an ego vehicle on a roadway. In one embodiment, a method includes, in response to acquiring sensor data from at least one sensor of the ego vehicle about a surrounding environment, identifying roadway elements from the sensor data as cues about the path. The roadway elements include one or more of lane markers of the roadway and surrounding vehicles. The method includes grouping the roadway elements into two or more groups according to characteristics of roadway elements indicating common curvatures. The method includes analyzing the two or more groups according to a confidence heuristic to determine a priority group from the two or more groups that corresponds with a trajectory of the ego vehicle. The method includes providing an identifier for the priority group to facilitate at least path planning for the ego vehicle.

Technologies for efficiently providing reliable compute operations for mission critical applications include a reliability management system. The reliability management system includes circuitry configured to obtain conclusion data indicative of a conclusion made by each of two or fewer compute devices of a host system. The conclusion data from each compute device pertains to the same operation. Additionally, the circuitry is configured to identify whether an error has occurred in the operation of each compute device, determine, in response to a determination that an error has occurred, a severity of the error, and cause the host system to perform a responsive action as a function of the determined severity of the error.

A vehicle control device has a processor configured to assess whether or not a lane change is necessary based on a scheduled route and surrounding environment information for a vehicle and select a traffic lane of the road, to produce a driving lane plan showing the scheduled driving lane, determine the notification priority representing the priority for notifying the driver of the planned lane change, based on at least one item from among the scheduled route, and the result of assessing whether or not the planned lane change is included in a plurality of continuous planned lane changes to be executed for a common purpose, when it has been planned to execute a lane change and suppress notification to the driver of planned lane changes with low notification priority compared to notification to the driver of planned lane changes with high notification priority, using a notification unit.

A vehicle power management system (100) for optimising power efficiency in a vehicle (400), by managing a power distribution between a first power source (410) and a second power source (420). A receiver (110) receives a plurality of samples from the vehicle (400), each sample comprising vehicle state data, a power distribution and reward data measured at a respective point in time. A data store (350) stores estimated merit function values for a plurality of power distributions. A control system (200) selects, from the data store (350), a power distribution having the highest merit function value for the vehicle state data at a current time, and transmits the selected power distribution to be implemented at the vehicle (400). A learning system (300) updates the estimated merit function values in the data store (350), based on the plurality of samples.

A route generation apparatus (13) has: a generating device (132) and a setting device (132). The generating device generates, on the basis of an evaluation score (SC2), a moving route of a movable object (1) that reaches a second position (WP_end) from a first position (WP_start) so as to avoid an interference between the movable object and an obstacle (O). The evaluation score is obtained by executing a weighting process on a distance (D_FL, D_FR, D_RL, D_RR) between the obstacle and specific portions (E_FL, E_FR, E_RL, E_RR) of the movable object on the basis of weighting coefficients (w_FL, w_FR, w_RL, w_RR). The setting device sets at least one weighting coefficient on the basis of a moving condition of the movable object during a period when the movable objects moves on the moving route.

The present disclosure relates to a method for forming a local navigation path for an autonomous vehicle (100, 102), specifically using a plurality of path detection modules (206) and obstacle avoidance modules (208) individually targeted towards specific path and obstacle conditions, respectively. The present disclosure also relates to a navigation path determination system (200) and to a corresponding computer program product.

Systems and methods to control recapture and use of energy to provide an APU include a vehicle having an electrically powered drive axle to provide supplemental torque to the vehicle to supplement primary motive forces applied through a separate drivetrain powered by a fuel-fed engine of the vehicle. The vehicle further includes an energy store to supply the electrically powered drive axle with electrical power or receive energy recovered using the electrically powered drive axle. The vehicle also includes the APU coupled to receive electrical power from the energy store for stopover operation and without idling of the fuel-fed engine. Further, the vehicle includes a hybrid control system for managing, based on an estimated travel time to a stopover location, an SoC of the energy store while the vehicle travels over a roadway to provide a target SoC of the energy store when the vehicle arrives at the stopover location.