Abstract: Systems, methods, and computer-readable media are disclosed for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle in a first format associated with a first communication protocol. The first information is converted from the first format into an agnostic format. An image, video, or real-time feed of an environment of the smart infrastructure device is captured. The first vehicle and a second vehicle in the image, video, or real-time feed is identified. It is determined that the second vehicle is temporarily or permanently incapable of performing a communication with the smart infrastructure device based on the image, video, or real-time feed. The image, video, or real-time feed is analyzed to generate second information associated with the second vehicle. The second information is converted into the agnostic format.

Abstract: A test module is provided with a housing for mounting within a cabin of an autonomous vehicle (AV). At least two user input devices are supported by the housing. A controller is disposed within the housing and programmed to: generate a first request to control an AV system of the AV based on manual activation of one of the at least two user input devices, and generate a second request to control the AV system based on manual activation of the other of the at least two user input devices. At least one transceiver provides the first request to the AV on a first communication interface and provides the second request to the AV system on a second communication interface.

Abstract: A method of transferring data between an autonomous vehicle and a vehicle traffic control infrastructure system. The method includes receiving, by a communication device of a vehicle, a data payload for a smart traffic control infrastructure node. The method includes, by a computing device of the vehicle: determining that the vehicle is or will be within a communication range of the smart traffic control infrastructure node, determining a length of time that the vehicle will be in the communication range of the smart traffic control infrastructure node, and assembling a communication package with at least a portion of the data payload that can be transferred in the determined length of time. The method includes, by a communication device of the vehicle when the vehicle has an ad hoc communication link with the smart traffic control infrastructure node, transmitting the assembled communication package to the smart node.

Abstract: Systems, methods, and computer-readable media are disclosed for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle in a first format associated with a first communication protocol. The first information is converted from the first format into an agnostic format. An image, video, or real-time feed of an environment of the smart infrastructure device is captured. The first vehicle and a second vehicle in the image, video, or real-time feed is identified. It is determined that the second vehicle is temporarily or permanently incapable of performing a communication with the smart infrastructure device based on the image, video, or real-time feed. The image, video, or real-time feed is analyzed to generate second information associated with the second vehicle. The second information is converted into the agnostic format.

Abstract: A method of transferring data between an autonomous vehicle and a vehicle traffic control infrastructure system. The method includes receiving, by a communication device of a vehicle, a data payload for a smart traffic control infrastructure node. The method includes, by a computing device of the vehicle: determining that the vehicle is or will be within a communication range of the smart traffic control infrastructure node, determining a length of time that the vehicle will be in the communication range of the smart traffic control infrastructure node, and assembling a communication package with at least a portion of the data payload that can be transferred in the determined length of time. The method includes, by a communication device of the vehicle when the vehicle has an ad hoc communication link with the smart traffic control infrastructure node, transmitting the assembled communication package to the smart node.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve identifying that a software update is available for a smart infrastructure system. The example method may also involve determining, by a processor of the smart infrastructure system and using a signal strength between a first vehicle and the smart infrastructure system, that the first vehicle is within a threshold range of the smart infrastructure system. The example method may also involve establishing, by the smart infrastructure system, a first ad-hoc peer-to-peer communication link with the first vehicle. The example method may also involve sending, to the vehicle, a request for the software update. The example method may also involve receiving, from the vehicle, at least a first portion of the software update that is transferred using the first ad-hoc peer-to-peer communication link.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve identifying that a software update is available for a smart infrastructure system. The example method may also involve determining, by a processor of the smart infrastructure system and using a signal strength between a first vehicle and the smart infrastructure system, that the first vehicle is within a threshold range of the smart infrastructure system. The example method may also involve establishing, by the smart infrastructure system, a first ad-hoc peer-to-peer communication link with the first vehicle. The example method may also involve sending, to the vehicle, a request for the software update. The example method may also involve receiving, from the vehicle, at least a first portion of the software update that is transferred using the first ad-hoc peer-to-peer communication link.

Abstract: A system provides navigational control information to a fleet of vehicles and includes a network of nodes within a geographical area. Each node is located at a different intersection in the geographical area. Each node includes a node vision range and a processor which generates augmented perception data (APD) for each moving object of interest monitored in the node vision range. The system includes a remote server system that includes a database of the APD and receives a query from a vehicle of the fleet for the APD associated with an imminent path of the vehicle. The server system, in response to the query, searches the database for APD associated with the imminent path, and communicates, over a communication network, the resultant APD associated with the imminent path to the vehicle. The APD controls navigation of the vehicle through one or more imminent intersections along the imminent path.

Abstract: A node is provided for capturing information about moving objects at an intersection. The node includes a plurality of first cameras that are positioned to capture first digital images of an intersection from different fields of view and a second camera positioned to capture second digital images in a field of view that is wider than that of each first camera. The node includes a processor that detects in the first and second digital images a set of objects of interest of the intersection, determines motion of each detected object of interest in the set from consecutive images of the first digital images or the second digital images. The node generates, for each object of interest of the set, augmented perception data that includes location data in the global coordinate system and the determined motion of each object of interest in the set.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle. The example method may also include receiving an image, video, or real-time feed of an environment of the smart infrastructure device, the environment including the first vehicle. The example method may also include determining an inconsistency between the first information received from the first vehicle and the image, video, or real-time feed of the environment. The example method may also include flagging, based on determining the inconsistency between the first information received from the first vehicle and the image, video, or real-time feed of the environment, the first vehicle as a source of erroneous data.

Abstract: A method of transferring data between an autonomous vehicle and a vehicle traffic control infrastructure system. The method includes receiving, by a communication device of a vehicle, a data payload for a smart traffic control infrastructure node. The method includes, by a computing device of the vehicle: determining that the vehicle is or will be within a communication range of the smart traffic control infrastructure node, determining a length of time that the vehicle will be in the communication range of the smart traffic control infrastructure node, and assembling a communication package with at least a portion of the data payload that can be transferred in the determined length of time. The method includes, by a communication device of the vehicle when the vehicle has an ad hoc communication link with the smart traffic control infrastructure node, transmitting the assembled communication package to the smart node.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle in a first format associated with a first communication protocol. The method may also include converting the first information from the first format into an agnostic format. The method may also include capturing an image, video, or real-time feed of an environment of the smart infrastructure device. The method may also include identifying the first vehicle and a second vehicle in the image, video, or real-time feed. The method may also include determining, based on the image, video, or real-time feed, that the second vehicle is temporarily or permanently incapable of performing a communication with the smart infrastructure device.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve identifying that a software update is available for a smart infrastructure system. The example method may also involve determining, by a processor of the smart infrastructure system and using a signal strength between a first vehicle and the smart infrastructure system, that the first vehicle is within a threshold range of the smart infrastructure system. The example method may also involve establishing, by the smart infrastructure system, a first ad-hoc peer-to-peer communication link with the first vehicle. The example method may also involve sending, to the vehicle, a request for the software update. The example method may also involve receiving, from the vehicle, at least a first portion of the software update that is transferred using the first ad-hoc peer-to-peer communication link.

Abstract: Systems, methods, and computer-readable media are disclosed for smart infrastructure data transfer. An example system is provided with a processor and a memory storing computer-executable instructions that are executed by the processor. The processor sends, over a network, a first software image to a first smart device of a system of smart devices to update a first group of smart devices of the system; and performs a discovery process to identify a second group of smart devices of the system. The second group of smart devices being based on a number or type of smart devices accessible on the system. The processor also creates a second software image including a software update for the second group of smart devices; and sends, over the network, the second software image to the first smart device to update the second group of smart devices.

Abstract: A system provides to a vehicle approaching an intersection information about objects of interest that are in a vicinity of the intersection. The system includes a remote server system that receives, from each node of a network of nodes at various intersections, augmented perception data (APD) representing a set of objects of interest that are proximate the intersection the node is located. The APD is extracted from images captured by a node vision system. The remote server system receives a query from the vehicle for APD associated with an imminent path of a planned route of the vehicle. The remote server system searches for resultant APD associated with the path and communicates the resultant APD to the vehicle. The objects of interest associated with an imminent intersection and objects of interest captured by the vehicle are fused together to control navigation of the vehicle through the imminent intersection.

Abstract: A system for navigation of a vehicle that includes a vehicle computer vision system to receive digital images of an environment along a path. The vision system has a vision range and includes a processor and programming instructions. The processor detects in the digital images a first set of objects of interest (OOIs) and determines motion of each OOI in the first set of OOIs. The system includes a communication device that receives augmented perception data associated with a node along a portion of the path. The received perception data identifies motion of each OOI of a second set of OOIs detected within a vision range of the node. The system includes a navigation controller that uses a fusion of the first set of OOIs and the second set of OOIs to control motion of the vehicle along the path.

Abstract: A node is provided for capturing information about moving objects at an intersection. The node includes a plurality of first cameras that are positioned to capture first digital images of an intersection from different fields of view and a second camera positioned to capture second digital images in a field of view that is wider than that of each first camera. The node includes a processor that detects in the first and second digital images a set of objects of interest of the intersection, determines motion of each detected object of interest in the set from consecutive images of the first digital images or the second digital images. The node generates, for each object of interest of the set, augmented perception data that includes location data in the global coordinate system and the determined motion of each object of interest in the set.

Abstract: A system provides navigational control information to a fleet of vehicles and includes a network of nodes within a geographical area. Each node is located at a different intersection in the geographical area. Each node includes a node vision range and a processor which generates augmented perception data (APD) for each moving object of interest monitored in the node vision range. The system includes a remote server system that includes a database of the APD and receives a query from a vehicle of the fleet for the APD associated with an imminent path of the vehicle. The server system, in response to the query, searches the database for APD associated with the imminent path, and communicates, over a communication network, the resultant APD associated with the imminent path to the vehicle. The APD controls navigation of the vehicle through one or more imminent intersections along the imminent path.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve determining, at a first time, that a first number of smart infrastructure devices included within a smart infrastructure system are accessible over a network. The example method may also involve creating a first software image including a software update for the first number of smart infrastructure devices. The example method may also involve sending, over the network, the first software image to a device of the smart infrastructure system. The example method may also involve determining, at a second time, that a second number of smart infrastructure devices included within the smart infrastructure system are accessible over the network. The example method may also involve determining that the first number of devices is different than the second number of devices.