Abstract: Techniques for performing and improving forward error correction (FEC). In an embodiment, a set of base data is grouped into a plurality of base data groups, for example when a trigger event which triggers beginning or altering transmission of FEC data occurs. FEC data including a plurality of FEC data groups is generated based on the plurality of base data groups, where each FEC data group corresponds to a respective base data group of the plurality of base data groups and each FEC data group is redundant with at least a portion of the corresponding base data group. The plurality of FEC data groups are transmitted. Various techniques described herein leverage different connections, links, devices, or combinations thereof, for transmitting FEC data and base data.

Abstract: A system and method for multi-channel network congestion control. A method includes determining a packet routing scheme for a plurality of packets of a data stream, wherein the packet routing scheme includes a routing of each packet to a respective communication channel of a plurality of communication channels, wherein each of the plurality of communication channels is connected to a scheduling component and to a synchronizing component; and sending the plurality of packets via their respective communication channels, wherein each of the sent packets includes timing data, wherein the synchronizing component is configured to synchronize the plurality of packets based on the timing data of each packet and to reconstruct the data stream using the synchronized packets.

Abstract: A system includes at least one imaging sensor and a processor. The processor is configured to acquire detected data describing an environment of a vehicle using the at least one imaging sensor; derive reference data which describes the environment from a predefined map; compute difference data representing a difference between the detected data and the reference data; and transfer the difference data, wherein an image computed based on the difference data and the reference data represents the detected data.

Abstract: A system and method for maintaining safe remote vehicle operation. A method includes analyzing network conditions for a vehicle, wherein at least a portion of vehicle operations for the vehicle are performed based on remote instructions, wherein the remote instructions are sent by a device which is remote from the vehicle; determining at least one safety measure decision for the vehicle based on the analyzed network conditions, wherein the at least one safety measure decision includes a set of safety measure instructions to be sent to a safety system of the vehicle; and implementing the at least one safety measure decision with respect to the vehicle by sending the set of safety measure instructions to the safety system of the vehicle, wherein the safety system controls the vehicle operations based on the set of safety measure instructions.

Abstract: Techniques for improving network connectivity. A method includes creating at least one network connectivity map based on a first set of network connectivity data for historical devices operating within a network; obtaining data for a plurality of devices currently operating within the network, wherein the obtained data includes a second set of network connectivity data for the plurality of devices and a plurality of task statuses for tasks assigned to the plurality of devices; and manipulating a first device of the plurality of devices in order to improve network connectivity of a second device of the plurality of devices, wherein the first device is manipulated based on the second set of network connectivity data, the plurality of task statuses, and the at least one network connectivity map.

Abstract: A system includes at least one imaging sensor and a processor. The processor is configured to acquire detected data describing an environment of a vehicle using the at least one imaging sensor; derive reference data which describes the environment from a predefined map; compute difference data representing a difference between the detected data and the reference data; and transfer the difference data, wherein an image computed based on the difference data and the reference data represents the detected data.

Abstract: A system and method for multi-channel network congestion control. A method includes determining a packet routing scheme for a plurality of packets of a data stream, wherein the packet routing scheme includes a routing of each packet to a respective communication channel of a plurality of communication channels, wherein each of the plurality of communication channels is connected to a scheduling component and to a synchronizing component; and sending the plurality of packets via their respective communication channels, wherein each of the sent packets includes timing data, wherein the synchronizing component is configured to synchronize the plurality of packets based on the timing data of each packet and to reconstruct the data stream using the synchronized packets.

Abstract: A system includes at least one imaging sensor and a processor. The processor is configured to acquire detected data describing an environment of an autonomous vehicle using the imaging sensor; derive reference data which describes the environment from a predefined map; compute difference data representing a difference between the detected data and the reference data; and transfer the difference data, wherein an image computed based on the difference data and the reference data represents the detected data. Other embodiments are also described.

Abstract: A system and method for multi-channel network congestion control. A method includes establishing multi-channel control over a plurality of communication channels by connecting each of the plurality of communication channels to a scheduling component and to a synchronizing component; determining a packet routing scheme for a plurality of packets of a data stream based on feedback from each of the plurality of communication channels, wherein the packet routing scheme includes a routing of each packet to a respective communication channel of the plurality of communication channels; and sending the plurality of packets via their respective communication channels, wherein each of the sent packets includes timing data, wherein the synchronizing component is configured to synchronize the plurality of packets based on the timing data of each packet and to reconstruct the data stream using the synchronized packets.

Abstract: A system and method for multi-channel network congestion control. A method includes establishing multi-channel control over a plurality of communication channels by connecting each of the plurality of communication channels to a scheduling component and to a synchronizing component; determining a packet routing scheme for a plurality of packets of a data stream based on feedback from each of the plurality of communication channels, wherein the packet routing scheme includes a routing of each packet to a respective communication channel of the plurality of communication channels; and sending the plurality of packets via their respective communication channels, wherein each of the sent packets includes timing data, wherein the synchronizing component is configured to synchronize the plurality of packets based on the timing data of each packet and to reconstruct the data stream using the synchronized packets.

Abstract: Techniques for improving network connectivity. A method includes creating at least one network connectivity map based on a first set of network connectivity data for historical devices operating within a network; obtaining data for a plurality of devices currently operating within the network, wherein the obtained data includes a second set of network connectivity data for the plurality of devices and a plurality of task statuses for tasks assigned to the plurality of devices; and manipulating a first device of the plurality of devices in order to improve network connectivity of a second device of the plurality of devices, wherein the first device is manipulated based on the second set of network connectivity data, the plurality of task statuses, and the at least one network connectivity map.

Abstract: A method includes generating a plurality of training vectors relating to different respective historical service requests generated by respective autonomous vehicles, each of the training vectors including respective features associated with the historical request to which the training vector relates. The method further includes, using the training vectors, training a model configured to generate a prediction relating to one or more future service requests, generating the prediction using the model, and outputting the generated prediction. Other embodiments are also described.

Abstract: A vehicle computing unit and method for collision avoidance. The method includes calculating a dynamic trajectory of a vehicle, wherein the dynamic trajectory of the vehicle indicates a projected movement path of the vehicle; determining whether at least one risk location is within the dynamic trajectory of the vehicle; operating the vehicle based on a driving decision selected from among a first driving decision and a second driving decision when at least one risk location is within the dynamic trajectory of the vehicle, wherein the first driving decision is determined based on inputs by an operator of the vehicle, wherein the second driving decision is determined by a vehicle computing unit of the vehicle; and operating the vehicle based on the inputs by the operator of the vehicle when no risk location is within the dynamic trajectory of the vehicle.

Abstract: A system includes at least one imaging sensor and a processor. The processor is configured to acquire detected data describing an environment of an autonomous vehicle using the imaging sensor; derive reference data which describes the environment from a predefined map; compute difference data representing a difference between the detected data and the reference data; and transfer the difference data, wherein an image computed based on the difference data and the reference data represents the detected data. Other embodiments are also described.

Abstract: Techniques for improving data transmission in teleoperation systems including a method for dynamic packet routing. The method includes identifying an optimal channel of a plurality of channels based on a network connectivity status of a system and historical connectivity data related to a current location of the system, wherein the system includes a plurality of network authorization devices, wherein each network authorization device is configured to enable communications via an associated channel; and routing packets to the optimal channel using a network authorization device of the plurality of network authorization devices that is associated with the optimal channel.

Abstract: A system includes at least one imaging sensor and a processor. The processor is configured to acquire, using the imaging sensor, detected data describing an environment of an autonomous vehicle. The processor is further configured to derive reference data, which describe the environment, from a predefined map, to compute difference data representing a difference between the detected data and the reference data, and to transfer the difference data. Other embodiments are also described.

Abstract: Techniques for improving data transmission in teleoperation systems including a method for dynamic packet routing. The method includes identifying an optimal channel of a plurality of channels based on a network connectivity status of a system and historical connectivity data related to a current location of the system, wherein the system includes a plurality of network authorization devices, wherein each network authorization device is configured to enable communications via an associated channel; and routing packets to the optimal channel using a network authorization device of the plurality of network authorization devices that is associated with the optimal channel.

Abstract: A system and method for collision warning. The method includes calculating a dynamic trajectory of a vehicle, the vehicle including at least one camera for capturing visual multimedia content, wherein the dynamic trajectory indicates a projected movement path of the vehicle, wherein the dynamic trajectory is calculated based on a respective stopping distance and a radius of movement determined for the vehicle; generating an overlay based on the at least one dynamic trajectory, wherein the overlay indicates at least one risk, wherein each of the at least one risk is located within the at least one dynamic trajectory; and applying the overlay to the visual multimedia content.

Abstract: Techniques for improving data transmission in teleoperation systems including a method for dynamic packet routing. The method includes identifying an optimal channel of a plurality of channels based on a network connectivity status of a system and historical connectivity data related to a current location of the system, wherein the system includes a plurality of network authorization devices, wherein each network authorization device is configured to enable communications via an associated channel; and routing packets to the optimal channel using the network authorization device associated with the optimal channel.

Abstract: Techniques for improving data transmission in teleoperation systems including a method for dynamic packet routing. The method includes identifying an optimal channel of a plurality of channels based on a network connectivity status of a system and historical connectivity data related to a current location of the system, wherein the system includes a plurality of network authorization devices, wherein each network authorization device is configured to enable communications via an associated channel; and routing packets to the optimal channel using the network authorization device associated with the optimal channel.