Systems, methods, and non-transitory computer program product are described herein for detecting location aspects of an autonomous vehicle to avoid collisions. Data including a plurality of points characterizing a trailer of an autonomous vehicle are received from a first scanning device. A first plane associated with the trailer is defined based on the plurality of points exceeding a first predetermined threshold. It is determined whether the first plane is perpendicular to ground. Based on the first plane being perpendicular to the ground, an orientation of the trailer is determined based on the first plane. Maneuvering of the autonomous vehicle is controlled through one or more commands based on the orientation.

System, method, and computer program product are described herein for autonomously docking an autonomous vehicle. Data including (i) an indication that the autonomous vehicle is within a docking location and (ii) an adjustment distance to place the autonomous vehicle within a threshold distance of the docking location is received. An external reference point detection module identifies an external reference point to the autonomous vehicle. A docking module incrementally adjusts a position of the autonomous vehicle in a first axis based on a distance between the autonomous vehicle and the external reference point until either (i) the autonomous vehicle is within the threshold distance of the docking location or (ii) a number of adjustments exceeds an adjustment maximum.

A mission control may receive, from a yard management system (YMS), a move request identifying a destination spot in a yard and one or more of a trailer identifier of a trailer to be moved, a pick-up spot of the trailer, and a trailer type. Mission control determines whether the move request is feasible for an autonomous vehicle (AV). When the move request is feasible, mission control generates a mission defining directives to control the AV to move the trailer from the pick-up spot to the destination spot and sets, via an application programming interface (API) of the YMS, a status of the move request to indicate autonomous move is scheduled.

A method for deactivating a remote automatic parking mode of a vehicle in a parking garage. The vehicle being equipped with a tire monitoring system, including wheel units mounted in each wheel of the vehicle and each being provided with an accelerometer measuring a radial component of an acceleration of the wheel and being dependent on a terrestrial gravitational field. The vehicle being provided with an automatic parking mode remotely controlled by portable equipment carried by a user. The method includes, if the conditions for activating the measurements of the wheel units are verified: each wheel unit measuring acceleration values over time; comparing said values with a threshold value, for each wheel unit; if the acceleration values of at least two wheel units exceed said threshold value, then: detecting any movement of said vehicle in a parking garage; and deactivating the remote automatic parking mode.

One or more unmanned or remotely controlled flying devices (a/k/a drones) are utilized as part of a parking management system to capture images and/or video for the purposes of recognizing vehicles located in parking (or no parking) locations. The image data is relayed to a remote computing system that can be is programmed to specifically identify a vehicle based upon its license plate and/or and unique characteristics of the vehicle (Handicap Placard, Parking Stickers, Make, Model, Color, Registration Stickers, etc.). This information is used to determine if the vehicle has the appropriate credentials to be parked at its location and to assess any parking charges and/or fines for violations. Images from satellites can be used to determine locations to image with the drones.