Abstract: Systems and techniques are disclosed for providing remote assistance to autonomous vehicles. An example method can include navigating an autonomous vehicle (AV) to a facility and/or a location within the facility; determining an error condition encountered by the AV in the facility, the error condition including a failure to perform a maneuver in the facility and/or a restriction of the AV preventing the AV from performing the maneuver in the facility; in response to the error condition, initiating a switch of an operation of the AV from an autonomous operation to a human-controlled operation; receiving, from a human operator, an instruction for the AV to perform one or more maneuvers determined to resolve the error condition, wherein the one or more maneuvers include the maneuver or an alternative maneuver; and triggering the AV to perform the one or more maneuvers based on the instruction.

Abstract: Sensors coupled to a first vehicle are used to measure sensor measurements. Based on the sensor measurements, the first vehicle identifies a risk to the first vehicle and/or to a second vehicle near the first vehicle, for example based on a distance between the first and second vehicle being unsafely low. The first vehicle generates an alert based on the risk and outputs the alert toward the second vehicle, for example visually through a screen and/or audibly using speakers, to warn an operator of the second vehicle about the risk.

Abstract: Aspects of the disclosed technology provide solutions for resolving navigation challenges and in particular, for providing autonomous vehicle (AV) navigation assistance by enabling the AV to follow other road vehicles. A process of the disclosed technology can include steps for identifying an autonomous vehicle (AV) navigation challenge, establishing a connection to a remote assistance (RA) system based on the identified challenge, and transmitting AV perception data to the RA system. In some aspects, the process can further include steps for receiving, from the RA system, a follow car command, wherein the follow car command identifies a target vehicle from among the one of the one or more vehicles in the environment; and updating a trajectory of the AV to cause the AV to follow the target vehicle. System and machine-readable media are also provided.

Abstract: Systems and methods for a selectively-activated magnetic strip under a vehicle chassis that is powered to pick up nails and other metal debris. The magnetic strip can be selectively activated using an electromagnet powered by the vehicle and controlled by an onboard computer. The magnetic strip can generally be powered on while the vehicle is driving and selectively deactivated based on mapping data to avoid interactions with metallic infrastructure. The magnetic strip can be selectively deactivated based on vehicle parameters, such as vehicle speed.

Abstract: A system and method for observing and controlling a programmable network via higher layer attributes is disclosed. According to one embodiment, the system includes one or more collectors and a remote network manager. The one or more collectors are configured to receive network traffic data from a plurality of network elements in the network. The remote network manager is configured to connect to the one or more collectors over the Internet via a network interface. The one or more collectors extract metadata from the network traffic data and send the metadata to the network manager.

Abstract: The present technology is effective to cause at least one processor to receive attributes of a sidewalk section within a threshold distance from a location selected by a passenger, determine a potential location for pick-up or drop-off of the passenger by the autonomous vehicle, receive an authorization from the passenger, and navigate the autonomous vehicle to the potential location for pick-up or drop-off. The attributes may include a respective curb height of the sidewalk section within the threshold distance. The potential location may be determined based upon a height of a portion of an autonomous vehicle and the respective curb height of the sidewalk section within the threshold distance. The authorization may confirm the potential location for pick-up or drop-off.

Abstract: The present technology is effective to cause at least one processor to receive attributes of a sidewalk section within a threshold distance from a location selected by a passenger, determine a potential location for pick-up or drop-off of the passenger by the autonomous vehicle, receive an authorization from the passenger, and navigate the autonomous vehicle to the potential location for pick-up or drop-off. The attributes may include a respective curb height of the sidewalk section within the threshold distance. The potential location may be determined based upon a height of a portion of an autonomous vehicle and the respective curb height of the sidewalk section within the threshold distance. The authorization may confirm the potential location for pick-up or drop-off.

Abstract: The subject disclosure relates to ways to determine the mass of a vehicle, such as an autonomous vehicle (AV), based on the vehicle pose. In some aspects, a method of the disclosed technology includes steps for measuring a first pose of a vehicle using one or more environmental sensors, measuring a second pose of the vehicle using the one or more environmental sensors, and calculating a mass of the vehicle based on the first pose and the second pose. Systems and machine-readable media are also provided.

Abstract: The present technology is effective to cause at least one processor to determine, based upon attributes of a sidewalk section and a height of a portion of an autonomous vehicle, a potential location for pick-up or drop-off of a passenger by the autonomous vehicle and navigate the autonomous vehicle to the potential location for pick-up or drop-off.

Abstract: A system and method for observing and controlling a programmable network via higher layer attributes is disclosed. According to one embodiment, the system includes one or more collectors and a remote network manager. The one or more collectors are configured to receive network traffic data from a plurality of network elements in the network. The remote network manager is configured to connect to the one or more collectors over the Internet via a network interface. The one or more collectors extract metadata from the network traffic data and send the metadata to the network manager.

Abstract: A system and method for observing and controlling a programmable network via higher layer attributes is disclosed. According to one embodiment, the system includes one or more collectors and a remote network manager. The one or more collectors are configured to receive network traffic data from a plurality of network elements in the network. The remote network manager is configured to connect to the one or more collectors over the Internet via a network interface. The one or more collectors extract metadata from the network traffic data and send the metadata to the network manager.

Abstract: A system and method for observing and controlling a programmable network via higher layer attributes is disclosed. According to one embodiment, the system includes one or more collectors and a remote network manager. The one or more collectors are configured to receive network traffic data from a plurality of network elements in the network. The remote network manager is configured to connect to the one or more collectors over the Internet via a network interface. The one or more collectors extract metadata from the network traffic data and send the metadata to the network manager.

Abstract: A system and method for observing and controlling a programmable network via higher layer attributes is disclosed. According to one embodiment, the system includes one or more collectors and a remote network manager. The one or more collectors are configured to receive network traffic data from a plurality of network elements in the network. The remote network manager is configured to connect to the one or more collectors over the Internet via a network interface. The one or more collectors extract metadata from the network traffic data and send the metadata to the network manager.

Abstract: The present technology is effective to cause at least one processor to determine, based upon attributes of a sidewalk section and a height of a portion of an autonomous vehicle, a potential location for pick-up or drop-off of a passenger by the autonomous vehicle and navigate the autonomous vehicle to the potential location for pick-up or drop-off.

Abstract: The present technology is effective to cause at least one processor to receive attributes of a sidewalk section within a threshold distance from a location selected by a passenger, determine a potential location for pick-up or drop-off of the passenger by the autonomous vehicle, receive an authorization from the passenger, and navigate the autonomous vehicle to the potential location for pick-up or drop-off. The attributes may include a respective curb height of the sidewalk section within the threshold distance. The potential location may be determined based upon a height of a portion of an autonomous vehicle and the respective curb height of the sidewalk section within the threshold distance. The authorization may confirm the potential location for pick-up or drop-off.

Abstract: Sensors coupled to a first vehicle are used to measure sensor measurements. Based on the sensor measurements, the first vehicle identifies a risk to the first vehicle and/or to a second vehicle near the first vehicle, for example based on a distance between the first and second vehicle being unsafely low. The first vehicle generates an alert based on the risk and outputs the alert toward the second vehicle, for example visually through a screen and/or audibly using speakers, to warn an operator of the second vehicle about the risk.

Abstract: The present technology is effective to cause at least one processor to receive attributes of a sidewalk section within a threshold distance from a location selected by a passenger, determine a potential location for pick-up or drop-off of the passenger by the autonomous vehicle, receive an authorization from the passenger, and navigate the autonomous vehicle to the potential location for pick-up or drop-off. The attributes may include a respective curb height of the sidewalk section within the threshold distance. The potential location may be determined based upon a height of a portion of an autonomous vehicle and the respective curb height of the sidewalk section within the threshold distance. The authorization may confirm the potential location for pick-up or drop-off.

Abstract: A system and method for observing and controlling a programmable network via higher layer attributes is disclosed. According to one embodiment, the system includes one or more collectors and a remote network manager. The one or more collectors are configured to receive network traffic data from a plurality of network elements in the network. The remote network manager is configured to connect to the one or more collectors over the Internet via a network interface. The one or more collectors extract metadata from the network traffic data and send the metadata to the network manager.

Abstract: A system and method for observing and controlling a programmable network via higher layer attributes is disclosed. According to one embodiment, the system includes one or more collectors and a remote network manager. The one or more collectors are configured to receive network traffic data from a plurality of network elements in the network. The remote network manager is configured to connect to the one or more collectors over the Internet via a network interface. The one or more collectors extract metadata from the network traffic data and send the metadata to the network manager.

Abstract: A system and method for observing and controlling a programmable network via higher layer attributes is disclosed. According to one embodiment, the system includes one or more collectors and a remote network manager. The one or more collectors are configured to receive network traffic data from a plurality of network elements in the network. The remote network manager is configured to connect to the one or more collectors over the Internet via a network interface. The one or more collectors extract metadata from the network traffic data and send the metadata to the network manager.