A method includes monitoring environmental conditions surrounding a moving vehicle, using an on-board sensor of the moving vehicle, detecting that at least one of the environmental conditions surrounding the moving vehicle is likely to impair visibility for a driver of the moving vehicle, based on an output of the on-board sensor, acquiring static map data for a location surrounding the moving vehicle, acquiring real time sensor data for the location surrounding the moving vehicle, where the real time sensor data comprises outputs of a plurality of on-board sensors of a plurality of other vehicles, generating an augmented reality view of the location surrounding the moving vehicle, using the static map data, the real time sensor data, and the output of the on-board sensor, and displaying the augmented reality view of the location surrounding the moving vehicle on a display within the moving vehicle.

A method and an apparatus for controlling a hybrid electric vehicle are disclosed. The method includes: determining whether an uphill section is present on a driving route; calculating a regenerative braking amount at a downhill section following the uphill section; determining whether a state of charge (SOC) of a low voltage battery is equal to or greater than a first predetermined value at the time of entering the uphill section; determining whether an SOC of a high voltage battery is equal to or greater than a second predetermined value when the SOC of the low voltage battery is equal to or greater than the first predetermined value; and controlling the MHSG to generate auxiliary torque corresponding to the regenerative braking amount at the downhill section when the SOC of the high voltage battery is equal to or greater than the second predetermined value.

Systems and methods for operating an autonomous vehicle (AV) are provided. The method includes detecting one or more objects in an environment, predicting a first set of predicted object trajectories comprising one or more trajectories for each of the detected one or more objects, generating a plurality of candidate AV trajectories for the AV, scoring each of the candidate AV trajectories according to a cost function, using the scoring to select a final AV trajectory for execution, determining which of the predicted object trajectories affected the final AV trajectory and which did not do so, adding the predicted object trajectories that affected the final AV trajectory to a persisted prediction cache, excluding from the persisted prediction cache any predicted object trajectories that did not affect the final AV trajectory, and executing the final AV trajectory to cause the AV to move along the final AV trajectory.

A method includes monitoring environmental conditions surrounding a moving vehicle, using an on-board sensor of the moving vehicle, detecting that at least one of the environmental conditions surrounding the moving vehicle is likely to impair visibility for a driver of the moving vehicle, based on an output of the on-board sensor, acquiring static map data for a location surrounding the moving vehicle, acquiring real time sensor data for the location surrounding the moving vehicle, where the real time sensor data comprises outputs of a plurality of on-board sensors of a plurality of other vehicles, generating an augmented reality view of the location surrounding the moving vehicle, using the static map data, the real time sensor data, and the output of the on-board sensor, and displaying the augmented reality view of the location surrounding the moving vehicle on a display within the moving vehicle.

Provided is a method and apparatus for operating an autonomous driving controller, the method including generating route information for the vehicle based on a rule, transitioning from an autonomous driving mode to an autonomous driving disable mode, in response to the driving route information not being generated for an amount of time greater than or equal to a threshold, tracking at least one neighboring vehicle based on data sensed by a sensor, and generating temporary driving route information based on a movement of the at least one neighboring vehicle.

Path specific rolling resistance is determined in a method including: receiving, from a first source, first rolling resistance data of a first set of road surface portions of a corresponding first set of times; receiving, from a second source, second rolling resistance data of a second set of road surface portions of a corresponding second set of times; determining, using any of the first rolling resistance data and the second rolling resistance data, a path specific rolling resistance for a given path including one or more of the road surface portions selected from the first and second set of road surface portions; and providing at least one target vehicle with the path specific rolling resistance or a derivative of the path specific rolling resistance.

A method for providing trajectories for at least one vehicle. At least one trajectory is generated by a vehicle or another source. A confidence measure is assigned to the at least one trajectory. The at least one trajectory is received by at least one vehicle and is used in consideration of the assigned confidence measure. A system for providing trajectories for at least one vehicle has at least one device for providing at least one trajectory generated by a vehicle or another source. A confidence measure is assigned or can be assigned to the at least one trajectory. At least one vehicle receives the trajectory and uses it in consideration of the assigned confidence measure.

An apparatus for estimating weight information of waste, includes a processor configured to: specify one of a plurality of modes as an operation mode of a waste collection vehicle, the plurality of modes including: a first mode in which waste is collected at a plurality of spots by activating a mounting on the waste collection vehicle for a shorter period of time than a predetermined period of time at each of the spots; and a second mode in which waste is collected by continuously activating the mounting for the predetermined period of time or longer; acquire an activation time during which the mounting on the waste collection vehicle has been activated in the specified operation mode; and acquire information on a weight of the waste based on the activation time and the operation mode.

Provided are methods for trajectory generation using an adjusted plurality of trajectories, which can include generating a plurality of trajectories for a vehicle from a plurality of poses, combinations of trajectories of the plurality of trajectories representing a plurality of paths for the vehicle through an environment, adjusting the plurality of trajectories to obtain an adjusted plurality of trajectories based on component data associated with the vehicle, selecting a first trajectory from the adjusted plurality of trajectories, and determining a path for the vehicle to operate along based on the first trajectory. Systems and computer program products are also provided.

A method includes monitoring environmental conditions surrounding a moving vehicle, using an on-board sensor of the moving vehicle, detecting that at least one of the environmental conditions surrounding the moving vehicle is likely to impair visibility for a driver of the moving vehicle, based on an output of the on-board sensor, acquiring static map data for a location surrounding the moving vehicle, acquiring real time sensor data for the location surrounding the moving vehicle, where the real time sensor data comprises outputs of a plurality of on-board sensors of a plurality of other vehicles, generating an augmented reality view of the location surrounding the moving vehicle, using the static map data, the real time sensor data, and the output of the on-board sensor, and displaying the augmented reality view of the location surrounding the moving vehicle on a display within the moving vehicle.