A set of sensor information may include first sensor information generated based on a first sensor of a first vehicle and second sensor information generated based on a second sensor of a second vehicle. Individual sensor information may characterize positions of objects in an environment of individual sensors. Relevant sensor information for a vehicle may be determined based on the set of sensor information and a position of the vehicle. The relevant sensor information may characterize positions of objects in a maneuver environment of the vehicle. A desired navigation of the vehicle in the maneuver environment of the vehicle may be determined based on the relevant sensor information. An instruction may be provided to the vehicle based on the desired navigation of the vehicle. The instruction may characterize one or more maneuvers to be performed by the vehicle to execute the desired navigation.

The present application comprises a system for controlling a plurality of autonomous vehicles on a mine site, the system comprising: a centralized platform configured to store an inventory list of vehicles travelling on the mine site and comprising a first communication interface configured to communicate missions to the vehicles; a plurality of autonomous vehicles, the autonomous vehicles comprising: a first communication interface configured to wirelessly communicate with the centralized platform for receiving a predetermined mission, a trajectory control system configured to autonomously control the autonomous vehicle according to the predetermined mission; and at least one portable device, the portable device comprising a second communication interface configured to wirelessly communicate with a second communication interface of the plurality of vehicles from the mine site.

A transportation system, that optimizes at least one operating parameter of a vehicle based on a physiological state of an occupant of the vehicle, includes a sensor that senses a physiological condition of the occupant and that outputs data based on the sensed physiological condition. The transportation system further includes an artificial intelligence system that receives and processes the data to determine an emotional state of the occupant, and optimizes, for achieving a favorable emotional state of the occupant, the at least one operating parameter of the vehicle in response to detecting the emotional state of the occupant.

Distributed data sampling, including: receiving a sampling target; generating, based on one or more sensors, sampled data; determining, based on the sampling target, a value for the sampled data; and determining, based on the value for the sampled data, whether to provide the sampled data to a remotely disposed computing device.

A method for handling malfunctioning vehicles (240,340) on a rail system (108,308) constituting part of a storage and retrieval system (1) configured to store a plurality of stacks (107) of storage containers (106), wherein the storage and retrieval system (1) comprisesa plurality of remotely operated vehicles (230,330,240,340,250,350) configured to move laterally on the rail system (108,308) anda control system (109) for monitoring and controlling wirelessly movements of the plurality of vehicles (230,330,240,340,250,350), the control system (109) forms by wireless data communication at least the following steps: A. registering an anomaly in an operational condition of a vehicle (this 240,340) on the rail system (108,308), B. registering the vehicle with the anomalous operational condition as a malfunctioning vehicle (240,340), C. bringing the malfunctioning vehicle (240,340) to a halt, D. registering a halt position of the malfunctioning vehicle (240,340) relative to the supporting rail system (108,308), E. setting up a two-dimensional shutdown zone (225) within the rail system (108,308) into which the malfunctioning vehicle (240,340) is halted and F. updating movement pattern of the plurality of remotely operated vehicles (230,330, 250,350) outside the two-dimensional shutdown zone (225) such that entrance into the two-dimensional shutdown zone (225) is avoided.

Methods and systems autonomously parking and retrieving vehicles are disclosed. Available parking spaces or parking facilities may be identified, and the vehicle may be navigated to an available space from a drop-off location without passengers. Special-purpose sensors, GPS data, or wireless signal triangulation may be used to identify vehicles and available parking spots. Upon a user request or a prediction of upcoming user demand, the vehicle may be retrieved autonomously from a parking space. Other vehicles may be autonomously moved to facilitate parking or retrieval.

A method for monitoring a vehicle includes determining that the vehicle is stopped and determining a location where the vehicle is stopped. Traffic congestion corresponding to the location where the vehicle is stopped may also be determined. A safety action may be taken based at least in part on whether the vehicle is stopped on a highway and whether the traffic congestion is causing the vehicle to be stopped.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Vehicle collision and/or smart home incident monitoring, damage detection, and responses are also described, with particular focus on the particular challenges associated with incident response for unoccupied vehicles and/or smart homes. Operating data associated with the autonomous vehicle and/or smart home may be received. Within the operating, an unusual condition indicative of a likelihood of incident may be detected. Based on the unusual condition, it may be determined that the incident occurred. Accordingly, a response to the incident may be determined. The response may be implemented by the autonomous vehicle and/or smart home.

Techniques are disclosed for systems and methods to provide docking assist for mobile structures. A docking assist system includes a logic device, one or more sensors, one or more actuators/controllers, and modules to interface with users, sensors, actuators, and/or other modules of a mobile structure. The logic device is adapted to receive docking assist parameters from a user interface for the mobile structure and perimeter sensor data from a perimeter ranging system mounted to the mobile structure. The logic device determines docking assist control signals based, at least in part, on the docking assist parameters and perimeter sensor data, and it then provides the docking assist control signals to a navigation control system for the mobile structure. Control signals may be displayed to a user and/or used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.P

Methods and systems for identifying autonomous vehicle users are described herein. An autonomous vehicle may receive a request to pick up a user at a starting location and transport the user to a destination location. Accordingly, the autonomous vehicle may travel to the starting location. Upon arriving at the starting location, the autonomous vehicle may detect whether a person approaching the vehicle is the user by detecting a biometric identifier for the person. The biometric identifier may then be compared to a biometric fingerprint for the user, and if there is a match, the autonomous vehicle may determine that the person is the user. As a result, the user may be allowed to enter the autonomous vehicle and/or the autonomous vehicle may begin travelling to the destination location. Otherwise, the person may be denied entry to the autonomous vehicle.