Abstract: Systems and methods of generating lane selection cost maps to control autonomous vehicles are disclosed. An autonomous vehicle system can receive a plurality of cost values from a plurality of components of an autonomous vehicle; generate a lane selection cost map based on the plurality of cost values; determining that the autonomous vehicle should change lanes based on the lane selection cost map; and transmit a command that causes the autonomous vehicle to change lanes responsive to determining that the autonomous vehicle should change lanes.

Abstract: Systems and methods of generating lane selection cost maps to control autonomous vehicles are disclosed. An autonomous vehicle system can receive a plurality of cost values from a plurality of components of an autonomous vehicle; generate a lane selection cost map based on the plurality of cost values; determining that the autonomous vehicle should change lanes based on the lane selection cost map; and transmit a command that causes the autonomous vehicle to change lanes responsive to determining that the autonomous vehicle should change lanes.

Abstract: Embodiments herein include systems and methods of generating lane selection cost values to control autonomous vehicles to accommodate merging vehicles in a tapering lane (or merge lane). An autonomy system can identify a tapering lane in map data and detect a merging vehicle situated in the tapering lane using perception sensor data. The autonomy system includes a lane-selection cost function that generates lane-selection cost values for the lanes available to the automated vehicle, which the autonomy system references to determine whether to continue traveling a current lane or change lanes into an adjacent lane. The lane-selection cost function may apply a courtesy weight when detecting the merging vehicle, such that the autonomy system causes the automated vehicle to change lanes as a courtesy to the merging vehicle, but without overriding other safety-related factors of the lane-selection cost function or trajectory planning functions.

Abstract: Systems and methods of generating lane selection cost maps to control autonomous vehicles are disclosed. An autonomous vehicle system can receive a plurality of cost values from a plurality of components of an autonomous vehicle; generate a lane selection cost map based on the plurality of cost values; determining that the autonomous vehicle should change lanes based on the lane selection cost map; and transmit a command that causes the autonomous vehicle to change lanes responsive to determining that the autonomous vehicle should change lanes.

Abstract: In one aspect, the disclosed system for measuring a pose of a trailer connected to an autonomous truck includes a trailer pose sensor and an autonomy computing system. The sensor is coupled to a connector configured to rigidly mate with a trailer connector on the trailer. The sensor is configured to detect a motion of the trailer. The autonomy computing system is communicatively coupled to the sensor. The autonomy computing system includes a processor coupled to a memory, the memory storing executable instructions that, upon execution by the processor, configure the processor to: compute a first pose of the trailer and store in the memory, receive a first measurement of the motion from the sensor, compute a second pose based at least in part on the first measurement received from the sensor and the first pose, and store the second pose in the memory.

Abstract: Systems and methods of generating lane selection cost maps to control autonomous vehicles are disclosed. An autonomous vehicle system can receive a plurality of cost values from a plurality of components of an autonomous vehicle; generate a lane selection cost map based on the plurality of cost values; determining that the autonomous vehicle should change lanes based on the lane selection cost map; and transmit a command that causes the autonomous vehicle to change lanes responsive to determining that the autonomous vehicle should change lanes.

Abstract: Embodiments herein include systems and methods of generating lane selection cost values to control autonomous vehicles to accommodate merging vehicles in a tapering lane (or merge lane). An autonomy system can identify a tapering lane in map data and detect a merging vehicle situated in the tapering lane using perception sensor data. The autonomy system includes a lane-selection cost function that generates lane-selection cost values for the lanes available to the automated vehicle, which the autonomy system references to determine whether to continue traveling a current lane or change lanes into an adjacent lane. The lane-selection cost function may apply a courtesy weight when detecting the merging vehicle, such that the autonomy system causes the automated vehicle to change lanes as a courtesy to the merging vehicle, but without overriding other safety-related factors of the lane-selection cost function or trajectory planning functions.

Abstract: Embodiments herein include systems and methods of generating lane selection cost values to control autonomous vehicles to accommodate merging vehicles in a tapering lane (or merge lane). An autonomy system can identify a tapering lane in map data and detect a merging vehicle situated in the tapering lane using perception sensor data. The autonomy system includes a lane-selection cost function that generates lane-selection cost values for the lanes available to the automated vehicle, which the autonomy system references to determine whether to continue traveling a current lane or change lanes into an adjacent lane. The lane-selection cost function may apply a courtesy weight when detecting the merging vehicle, such that the autonomy system causes the automated vehicle to change lanes as a courtesy to the merging vehicle, but without overriding other safety-related factors of the lane-selection cost function or trajectory planning functions.

Abstract: Autonomous vehicles including sensors and electronic control units (ECUs) that communicate via ring networks are disclosed. A system includes an ECU of an autonomous vehicle that includes an ECU network interface. The system includes a plurality of sensors disposed on the autonomous vehicle, and each of the plurality of sensors includes a respective sensor network interface. The system includes a plurality of network links communicatively coupling the plurality of sensors to the ECU network interface of the ECU via the respective sensor network interface in a ring configuration.

Abstract: Disclosed herein are methods and systems to avoid collisions with animals. In an example, a method comprises receiving, by a processor, an indication that a current trajectory of an autonomous vehicle is associated with a likelihood of a collision that satisfies a collision threshold indicating a potential collision with an animal having an attribute that satisfies a threshold; disabling, by the processor, at least one lighting apparatus associated with the autonomous vehicle; and enabling, by the processor, a sound-generating device associated with the autonomous vehicle.

Abstract: The invention relates generally to polypeptides comprising a lectin domain, multimeric proteins comprising the polypeptides, and use of the polypeptides or multimeric proteins in the detection of a carbohydrate (e.g., a sialic acid containing carbohydrate or Siglec ligand) or the treatment of a Siglec-mediated disorder.