Disclosed are systems, methods and devices for centralized control of autonomous vehicles. In some embodiments, a system and method allow an autonomous control system on-board an autonomous vehicle to pass control of the autonomous vehicle to an offboard panel of experts upon encountering an anomaly. In some embodiments, a system and method allow a regulatory entity to proactively distribute rules and requirements to autonomous vehicles while operating within a regulated space.

An embodiment method includes performing pilot authentication based on a first challenge-response process with an authentication server, transmitting first flight information to the authentication server, receiving a first authentication token provided in response to verification of the first flight information in the authentication server, transmitting the first authentication token to an aircraft system, receiving a second authentication token from the aircraft system, the second authentication token being transmitted by the aircraft system to the authentication server when authentication for a security manager boarding the aircraft succeeds based on a second challenge-response process performed between the aircraft system and the authentication server, wherein the second authentication token corresponds to that provided to the aircraft system in response to verification by the authentication server for second flight information, and sharing a session key and a message authentication code key with the aircraft system when mutual authentication succeeds.

Systems and methods for detecting, monitoring, and mitigating the presence of a drone are provided herein. In one aspect, a system for detecting presence of a one or more drones includes a radio-frequency (RF) receiver configured to receive an RF signal transmitted between a drone and a controller. The system can further include a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the at least one processor to receive a set of samples from the RF receiver for a time interval, the set of samples comprising samples of the first RF signal, obtain a parameter model of the first frequency hopping parameters, and fit the parameter model to the set of samples.

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.

An agricultural amphibious bait feeding boat includes a boat body. A bait feeding device is fixed to one end of the boat body, and a propulsion device is fixed to the other end of the boat body. The boat body includes two foam floating bodies, foam fixing carbon rods, a transverse carbon rod, tube ferrule fixing assemblies, and tee joints. The two foam floating bodies include a left foam floating body and a right foam floating body, the foam fixing carbon rods parallel to each other are respectively arranged above the two foam floating bodies, and the foam floating bodies and the foam fixing carbon rods are fixed through the tube ferrule fixing assemblies. The transverse carbon rod is connected to the foam fixing carbon rods through the tee joints, and the left foam floating body and the right foam floating body are fixedly connected to each other.

Described herein are devices, systems and methods related to automated waste management. Aspects of the present disclosure include devices, systems, and methods comprising an autonomous waste bin. The autonomous waste bin may include a first and second driving wheels connected to a base of a hollow receptacle. The autonomous waste bin may include a first and second driving motor connected to the first and second driving wheels respectively, the first and second driving motor configured to provide a driving force to the first and second driving wheels. The autonomous waste bin may include at least one controller in communication with the first and second driving motors, the at least one controller configured to control the movement of the autonomous waste bin, via the first and second driving wheels.

Described herein are devices, systems and methods related to automated waste management. Aspects of the present disclosure include devices, systems, and methods comprising an autonomous waste bin. The autonomous waste bin may include a first and second driving wheels connected to a base of a hollow receptacle. The autonomous waste bin may include a first and second driving motor connected to the first and second driving wheels respectively, the first and second driving motor configured to provide a driving force to the first and second driving wheels. The autonomous waste bin may include at least one controller in communication with the first and second driving motors, the at least one controller configured to control the movement of the autonomous waste bin, via the first and second driving wheels.

An architecture to provision one-stop parking, charging, storage, and/or maintenance facilities and/or functionalities for drone equipment. A method can comprise identifying a drone entering a defined airspace monitored by the network equipment; in response to establishing a communication channel with the drone, receiving data representing a physical dimension associated with the drone; based on the physical dimension associated with the drone, allocating a space within a defined area to which the drone is to navigate and then cease moving; and sending, to the drone via the communication channel, notification data that notifies the drone to navigate to the space.

The present invention relates to an on-board emergency remote assistance and data retrievable system configured to download and retrieve image, audio and video information from the inside and outside of a manned aerial vehicle (MAV) using an on-board unmanned aerial vehicle (UAV), while the MAV is either in the air or crashed. The UAV system including at least one drone in coordination with a remote station to automatically locate a distressed MAV while in operation, to track it and provide assistance when possible, wherein the drone being integrated into the MAV. The system of the present invention conclusively prevents the lost or disappearance, and crash of the manned aerial vehicle without a trace.

A method for automatically controlling a vehicle based on a driving specification received from an external infrastructure. In a normal mode the vehicle is controlled along a trajectory specified thereby and in a test mode the vehicle is controlled along a test trajectory that deviates from the trajectory specified by the driving specification, and/or is controlled using test parameters. This allows the reliable operation of the infrastructure to be verified.