A method for determining fleet wide integrity comprises forming a user measurement block for each user in a fleet network, the user measurement block comprising: navigation measurements received by the user, relative user measurements received by the user from other users, and navigation state and integrity solutions. The user measurement block is signed and sent to all other users for validation. Each user executes a numerical process to determine a navigation state and integrity of all users. A fleet state block is formed comprising: a header including a hash of last valid fleet state block header, a nonce-proof of work, and a root hash of Merkle tree; and a data block including measurement, state, and integrity information of the fleet. The fleet state block is sent to all other users for validation. If the fleet state block passes validation, the user forms a chain of fleet state blocks.

Methods and systems are described for detecting movement of a portable electronic device; receiving video data, for a first object, captured by a video capture device during the movement; and utilizing the video data, presenting a video by a display device of the portable electronic device that is viewable to a user for directing an attention of the user in connection with the first object.

Methods and systems are described for detecting movement of a portable electronic device; receiving video data, for a first object, captured by a video capture device during the movement; and utilizing the video data, presenting a video by a display device of the portable electronic device that is viewable to a user for directing an attention of the user in connection with the first object.

A method and system for determining a trajectory within an operating space for an autonomous vehicle to implement a behaviour decision, comprising: generating a set of candidate target end states for the behaviour decision based on an estimated state of the vehicle; generating a set of candidate trajectories corresponding to the set of candidate target end states based on the estimated state of the vehicle; determining a suitability of each of the candidate target end states based on the estimated state of the vehicle; and selecting a trajectory to implement the behaviour decision from the set of candidate trajectories based on the determined suitability of the candidate target end states.

Autonomous and manually operated vehicles are integrated into a cohesive, interactive environment, with communications to each other and to their surroundings, to improve traffic flow while reducing accidents and other incidents. All vehicles send/receive messages to/from each other, and from infrastructure devices, enabling the vehicles to determine their status, traffic conditions and infrastructure. The vehicles store and operate in accordance with a common set of rules based upon the messages received and other inputs from sensors, databases, and so forth, to avoid obstacles and collisions based upon current and, in some cases, future or predicted behavior. Shared vehicle control interfaces enable the AVs to conform to driving activities that are legal, safe, and allowable on roadways. Such activities enable each AV to drive within safety margins, speed limits, on allowed or legal driving lanes and through allowed turns, intersections, mergers, lane changes, stops/starts, and so forth.

Autonomous and manually operated vehicles are integrated into a cohesive, interactive environment, with communications to each other and to their surroundings, to improve traffic flow while reducing accidents and other incidents. All vehicles send/receive messages to/from each other, and from infrastructure devices, enabling the vehicles to determine their status, traffic conditions and infrastructure. The vehicles store and operate in accordance with a common set of rules based upon the messages received and other inputs from sensors, databases, and so forth, to avoid obstacles and collisions based upon current and, in some cases, future or predicted behavior. Shared vehicle control interfaces enable the AVs to conform to driving activities that are legal, safe, and allowable on roadways. Such activities enable each AV to drive within safety margins, speed limits, on allowed or legal driving lanes and through allowed turns, intersections, mergers, lane changes, stops/starts, and so forth.

A pipelayer machine includes a propulsion system, a ranging, and a controller in communication with the propulsion system and the ranging system. The controller is configured to receive a predetermined distance that the pipelayer machine is to maintain between the pipelayer machine and an adjacent pipelayer machine, determine, via the ranging system, a first distance between the pipelayer machine and the adjacent pipelayer machine, and determine that a difference between the first distance and the predetermined distance is outside of a predetermined tolerance range. The controller is further configured to modify a speed of the propulsion system based at least in part on determining that the difference is outside of the predetermined tolerance range, wherein modifying the speed of the propulsion system causes acceleration or deceleration of the pipelayer machine.

A pipelayer machine includes a propulsion system, a ranging, and a controller in communication with the propulsion system and the ranging system. The controller is configured to receive a predetermined distance that the pipelayer machine is to maintain between the pipelayer machine and an adjacent pipelayer machine, determine, via the ranging system, a first distance between the pipelayer machine and the adjacent pipelayer machine, and determine that a difference between the first distance and the predetermined distance is outside of a predetermined tolerance range. The controller is further configured to modify a speed of the propulsion system based at least in part on determining that the difference is outside of the predetermined tolerance range, wherein modifying the speed of the propulsion system causes acceleration or deceleration of the pipelayer machine.

A system determines a dynamic collision awareness envelope for a vehicle. The system includes at least one vehicle motion sensor, an operator Line-Of-Sight detector and a processor. The vehicle motion sensor periodically provides measurements relating to the motion of the vehicle in a reference coordinate system. The operator Line-Of-Sight detector periodically provides information relating to the direction of the Line-Of-Sight of an operator of the vehicle, in a vehicle coordinate system. The processor is coupled with the at least one vehicle motion sensor, and with the operator Line-Of-Sight detector. The processor determines an operator vector from the direction of the Line-Of-Sight of the operator. The processor further determines an operational vector at least from the motion of the vehicle. The processor periodically determines a collision awareness envelope respective of each of the operational vectors, from the operator vector and the respective operational vector.

A system of virtual reality includes a roaming path control unit, where the roaming path control unit includes a decomposing processing module, a tagging processing module, a setting processing module, a control processing module and a roaming path generating module, where the control processing module is configured to, detect a tag of a passing grid cell from a start point of the roaming path when a roamer roams in the virtual passage, if the passing grid cell is tagged as an impassable cell, then select another grid cell for re-detection; if the passing grid cell is tagged as a passable cell, then further detect whether the roamer is the preset roaming object, according to the roaming control label for the passable cell, if not, then select another grid cell for re-detection, if yes, then determine to be passable and continue to select the next passing grid cell for detection.