Systems and methods are provided for autonomous vehicle passenger safety monitoring following an autonomous vehicle route. In particular, an autonomous vehicle waits for a selected time period after a passenger exits the vehicle. In some examples, the autonomous vehicle remains until the passenger has entered a building at the passenger's destination. In some examples, the autonomous vehicle remains until the passenger is no longer detectable by the vehicle's sensors. During the waiting period, the passenger may choose to re-enter the vehicle.

A survey system includes a controller storing a map comprising a plurality of nodes representing data capture points of the environment. The controller is configured to segment the plurality of nodes into a plurality of communities, where each community from among the plurality of communities includes a set of nodes from among the plurality of nodes. The controller is configured to generate, for each community from among the plurality of communities, one or more traversability scores. The controller is configured to assign, for each community from among the plurality of communities, at least one robot from among a plurality of robots to survey the community based on the one or more traversability scores. The controller is configured to deploy, for each community from among the plurality of communities, at least one of the plurality of robots based on the plurality of robots assigned to the community.

The present disclosure provides a method and a device for controlling a vehicle, a device and a storage medium, and relates to the field of unmanned vehicle technologies. The method includes: acquiring a vehicle environment image by an image acquirer during traveling of the vehicle; extracting a static environment image included in the vehicle environment image; obtaining a planned vehicle traveling trajectory by taking the static environment image as an input of a trajectory planning model; and controlling the vehicle to travel according to the planned vehicle traveling trajectory.

An autonomous vehicle (AV) includes a conveyor system arranged within its main cabin. The conveyor system includes attachment points for attaching transport bags to the conveyor system, and a motor to move the transport bags to different positions along the conveyor system. The AV includes a door that can open and close to provide access to the transport bags. The AV further includes a conveyor system controller that identifies a transport bag associated with a user and issues an instruction to the motor to move the transport bags along the conveyor system.

Systems and methods are provided for autonomous vehicle passenger safety monitoring following an autonomous vehicle route. In particular, an autonomous vehicle waits for a selected time period after a passenger exits the vehicle. In some examples, the autonomous vehicle remains until the passenger has entered a building at the passenger's destination. In some examples, the autonomous vehicle remains until the passenger is no longer detectable by the vehicle's sensors. During the waiting period, the passenger may choose to re-enter the vehicle.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting occupancies of agents. One of the methods includes obtaining scene data characterizing a current scene in an environment; and processing a neural network input comprising the scene data using a neural network to generate a neural network output, wherein: the neural network output comprises respective occupancy outputs corresponding to a plurality of agent types at one or more future time points; the occupancy output for each agent type at a first future time point comprises respective occupancy probabilities for a plurality of locations in the environment; and in the occupancy output for each agent type at the first future time point, the respective occupancy probability for each location characterizes a likelihood that an agent of the agent type will occupy the location at the first future time point.

A driving assistance system includes a plurality of vehicles on which a plurality of microphones is mounted respectively and a server having an acquisition unit configured to acquire sound signals recorded by the microphones and position information of the vehicles. The server further has an estimation unit configured to estimate a position of one or more sound sources based on the sound signals and the position information and a providing unit configured to provide the estimated position of the one or more sound sources to the vehicles.

Disclosed herein are methods and systems for automatically selecting and operating autonomous vehicles to acquire inspection data relating to one or more inspected assets in response to received inspection request indicating the inspected assets. In particular, based on the inspection request required inspection data is automatically determined by analyzing one or more structural models representing the inspected asset(s) and mission parameters are computed for an inspection mission for acquiring the inspection data. Operational parameters of a plurality of autonomous vehicles are then analyzed with respect to the computed mission parameters to identify one or more autonomous vehicles which are capable of acquiring the inspection data. Operation instructions are further computed for one or more capable autonomous vehicles selected for the inspection mission to acquire the required inspection data and transmitted for operating the selected capable autonomous vehicle(s) accordingly.

An autonomous vehicle (AV) includes a conveyor system arranged within its main cabin. The conveyor system includes attachment points for attaching transport bags to the conveyor system, and a motor to move the transport bags to different positions along the conveyor system. The AV includes a door that can open and close to provide access to the transport bags. The AV further includes a conveyor system controller that identifies a transport bag associated with a user and issues an instruction to the motor to move the transport bags along the conveyor system.

An apparatus, system, method, and/or non-transitory computer readable media of a distance estimation apparatus including at least one camera includes obtaining a bounding box corresponding to a target vehicle on the basis of an image obtained through the at least one camera, obtaining a first rectilinear distance to the target vehicle, obtaining a first world width on the basis of the first rectilinear distance and a width of the bounding box, obtaining a second ratio of a region, corresponding to a rear surface of the target vehicle, of a region of the bounding box on the basis of a first ratio, and calculating a second world width of the target vehicle on the basis of the second ratio, wherein the first ratio represents a ratio of the rear surface and a side surface of the target vehicle.