Methods and apparatus for item location management are described.

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.

Autonomous vehicles may utilize neural networks for image classification in order to navigate infrastructures and foreign environments, using context dependent transfer learning adaptation. Techniques include receiving a transferable output layer from the infrastructure, which is a model suitable for the infrastructure and the local environment. Sensor data from the autonomous vehicle may then be passed through the neural network and classified. The classified data can map to an output of the transferable output layer, allowing the autonomous vehicle to obtain particular outputs for particular context dependent inputs, without requiring further parameters within the neural network.

Unmanned aerial vehicles (UAVs), including multi-processor UAVs with secured parameters, and associated systems, devices, and methods are disclosed herein. In one embodiment, a UAV includes a flight controller configured to control flight operations of the UAV based at least in part on system parameters provided to the UAV. The UAV can additionally include an oversight processor configured to (i) monitor operations of the flight controller and (ii) intercede when the oversight processor determines the flight controller is operating in violation of the system parameters. In some embodiments, the system parameters are secured (e.g., digitally signed and/or encrypted) and provided to the UAV. In these and other embodiments, the UAV is configured to verify the secure systems parameters and/or to autonomously execute a flight plan after verifying the system parameters. In some embodiments, the system parameters define an operational envelope specifying airspace to which autonomous flight of the UAV is constrained.

Systems, methods, and apparatus related to dynamically adjusting sensing and/or processing resources of a vehicle. In one approach, sensor data is collected by sensing devices of the vehicle. A controller of the vehicle uses the sensor data to control one or more functions of the vehicle. The controller evaluates the sensor data to determine a context of operation (e.g., weather, lighting, and/or traffic) for the vehicle. Based on the context of operation, the controller adjusts the operation of one or more of the sensing or processing devices in real-time during operation of the vehicle. In one example, the adjustment reduces power consumption by the vehicle.

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.

A system including primary camera(s) arranged on vehicle that is employed for surveying real-world environment; secondary camera(s) coupled to steering unit(s) that is arranged on vehicle; geolocation sensor that, in operation, detects geographical location and orientation of vehicle; and processor(s) configured to receive primary image(s) captured by primary camera(s); process primary image(s) to detect asset(s) (P1, P2, P3, P4, X, Y) and location and orientation of asset(s); control steering unit(s) to adjust pose of secondary camera(s) based on location and orientation of asset(s) and geographical location and orientation of vehicle, for enabling secondary camera(s) to capture secondary image(s) of asset(s); receive secondary image(s) captured by secondary camera(s); process secondary image(s) to detect anomalous phenomena in asset(s); and locate anomalous phenomena based at least on location and orientation of asset(s).

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.

A method for responding to a public safety alert includes receiving an indication of the public safety alert, wherein the public safety alert comprising a description of a wanted road user; identifying, using sensors of an autonomous vehicle (AV) and in response to the public safety alert, road users; and, in response to determining that an identified road user matches the wanted road user, notifying an authority of the match. A method for road incident reporting by an AV includes identifying road users based on sensor data of the AV; associating respective hypotheses with each of the road users; and, in response to determining that a threshold number of the road users are not proceeding according to at least one of the respective hypotheses, sending a notification indicating a potential traffic issue at a zone of the road users.

A vehicle includes a controller, programmed to responsive to detecting, via a vehicle sensor, an obstacle blocking a route on which the vehicle is traversing, report the obstacle and blockage to a server via a wireless connection; responsive to receiving a command from the server instructing to perform an exploratory maneuver to remove the obstacle from the route, execute the command via an autonomous driving controller; and report an implementation result of the exploratory maneuver to the server.