Abstract: A system and method for inferring a stop line for a vehicle at an intersection are provided. The system includes a processor configured to detect from accessed map data that a traffic control measure is positioned before an intersection and determine whether a stop line for the detected traffic control measure is painted. The processor, in response to determining that no stop line is painted, identifies a restricted lane and infers a stop line. The processor infers the stop line by identifying, as a nearest lane conflict, a lane segment of a second road intersecting the first road at the intersection and advancing a location of the entry line as an intermediate stop line a distance toward the nearest lane conflict, until the intermediate stop line is at a target distance from a nearest boundary of the nearest lane conflict to form an inferred stop line.

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 and method for performing visual localization is disclosed. In aspects, the system implements methods to generate a global point cloud, the global point cloud representing a plurality of point clouds. The global point cloud can be mapped to a prior map information to locate a position of an autonomous vehicle, the prior map information representing pre-built geographic maps. The position of the autonomous vehicle can be estimated based on applying sensor information obtained from sensors and software of the autonomous vehicle to the mapped global point cloud.

Abstract: A roadway safety device includes one or more spacers which engage a falling arm attached to a sign so as to lift the sign relative to a structure on which a housing bracket attached to the arm rests. The roadway safety device may include a spacer which dampens the fall of the arm and which holds the arm at an upward angle to make the sign more visible to drivers.

Abstract: Devices, systems, and methods are provided for radar elevation angle measurement. A radar elevation angle measurement system may transmit one or more signals from a radar towards a reflection structure comprised of individually controlled motors operable to rotate one or more corner reflectors. The radar elevation angle measurement system may receive echo signals at the radar from each of the one or more corner reflectors that sequentially transitioned to an ON position based on each of the one or more corner reflectors being sequentially rotated to be in an ON then an OFF positions. The radar elevation angle measurement system may collect data associated with the echo signals received from the one or more corner reflectors. The device may identify peak signal values based on the collected data. The radar elevation angle measurement system may calculate a radar pitch angle of the radar based on the peak signal values.

Abstract: An antenna structure is disclosed. The antenna structure comprises: a plurality of supports; and a plurality of antennas, each of at least two antennas of the plurality of antennas being mounted on a respective one of the supports; wherein each of the at least two antennas are mounted on a side of their respective supports so as to face away from each other; and wherein at least two of the plurality of supports are laterally displaced from each other along one of their respective edges by a prescribed distance and are arranged to form a prescribed angle between themselves. Multiple ones of the antenna structure may be placed so as to provide full space coverage with sectorization, and some embodiments provide for at least partially overlapping coverage.

Abstract: Systems for managing access to an autonomous vehicle includes an autonomous vehicle including a plurality of storage compartments, wherein each of the plurality of storage compartments comprises a locking mechanism and at least one processor to receive data associated with an item to be positioned in a storage compartment of the plurality of storage compartments, determine that one of the plurality of storage compartments has storage capacity for the item, designate one of the plurality of storage compartments for storage of the item, activate the locking mechanism of the designated storage compartment to lock the designated storage compartment after the item is positioned in the designated storage compartment, and activate the locking mechanism of the designated storage compartment to unlock the designated storage compartment to allow removal of the item from the designated storage compartment. Methods, computer program products, and autonomous vehicles are also disclosed.

Abstract: Systems and methods for operating an autonomous vehicle (AV) are provided. The method includes detecting one or more objects in an environment, predicting a first set of predicted object trajectories comprising one or more trajectories for each of the detected one or more objects, generating a plurality of candidate AV trajectories for the AV, scoring each of the candidate AV trajectories according to a cost function, using the scoring to select a final AV trajectory for execution, determining which of the predicted object trajectories affected the final AV trajectory and which did not do so, adding the predicted object trajectories that affected the final AV trajectory to a persisted prediction cache, excluding from the persisted prediction cache any predicted object trajectories that did not affect the final AV trajectory, and executing the final AV trajectory to cause the AV to move along the final AV trajectory.

Abstract: A system includes a computer-readable memory for storage and retrieval of LiDAR data. The memory includes one or more point cloud data structures, each point cloud data structure including a first header block, and a plurality of point blocks. Each of the plurality of point blocks is configured to store at least a portion of LiDAR point cloud data. The memory includes one or more image data structures having a second header block, and a plurality of image column blocks. Each image column block includes a column of pixels of a corresponding image from the LiDAR point cloud data, and the image column blocks collectively contain all pixels of the corresponding image.

Abstract: A splittable introducer sheath includes a tubular body portion formed from a first material and at least one stripe extending an entire length of the main body portion, the at least one stripe being formed form a second material. The first material is one of a medium-density polyethylene modified with a friction-reducing additive or high-density polyethylene (HDPE) modified with a friction-reducing additive. The second material is a thermoplastic elastomer modified with a siloxane additive. The sheath is dividable longitudinally along the at least one stripe.

Abstract: Disclosed herein are embodiments for a control module cooling system. For example, the control module is provided with a chassis and a circuit board assembly that is mounted to the chassis and includes electronics that generate heat during operation. A cold plate is mounted to the chassis and adjacent to the circuit board assembly and defines an opening. A cold block is coupled to the cold plate and comprises: a base disposed within the opening and coupled to the electronics; a plurality of fins extending from the base and spaced apart from each other to form channels; and a plate that is spaced apart from the base to form a cavity. The plate defines an inlet that is arranged over a central portion of the plurality of fins to receive a liquid therethrough to facilitate impinging flow of the liquid through the channels to transfer heat from the electronics.

Abstract: Disclosed herein are system, method, and computer program product embodiments for handling unmapped speed limit signs. For example, the method includes receiving sensor data from a sensor of a vehicle, identifying a traffic sign within a field of view of the vehicle based on the sensor data, identifying one or more lane segments of a road associated with the identified traffic sign based on a determination that the identified traffic sign is not mapped in a priori map, and updating an attribute associated with a segment of the one or more lane segments of the road based on a determination that a detected attribute corresponding to the identified sign is more restrictive than an attribute associated with the lane segment in the a priori map.

Abstract: Methods of identifying corner case simulation scenarios that are used to train an autonomous vehicle motion planning model are disclosed. A system selects a scene that includes data captured by one or more vehicles over a time period. The data includes one or more actors that the vehicle's sensors perceived over the time period in a real-world environment. The system selects a scene that includes a safety threshold violation, and it identifies the trajectory of an actor that participated in the violation. The system generates simulated scenes that alter the trajectory of the actor in the selected scene, selects simulated scenes that are more likely to occur in the real world and that may include safety threshold violations that go beyond any that may be found in the original scene, and uses the selected simulated scenes to train an autonomous vehicle motion planning model.

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: Disclosed herein are system, method, and computer program product embodiments for determining a precipitation rate. In some embodiments, a processor receives precipitation data from an array of sensors of a set of array of sensors disposed on a vehicle. A set of lidar sensors are disposed on the vehicle and the array of sensors is positioned within a predetermined distance of a respective lidar sensor of the set of lidar sensors. The processor generates a precipitation rate based on an average of the precipitation data received from the array of sensors and trains a model to control a function of the vehicle during precipitation using the precipitation rate.

Abstract: Disclosed herein are system, method, and computer program product embodiments for handling changes in road markings. For example, the method includes identifying a road marking in a road trajectory of a vehicle using an artificial intelligence (AI) model and sensor data from a sensor of the vehicle and performing a map update based on a determination that there is a change in road markings in the road trajectory. The determination is based on at least on-board data generated when the vehicle is traversing the road trajectory and off-board data generated using stored data. The sensor data includes two or more sensor modalities.

Abstract: Disclosed herein are system and method embodiments to implement a validation of an SfM map. An embodiment operates by receiving a motion-generated map corresponding to a digital image, generating a first depth map, wherein the first depth map comprises depth information for one or more triangulated points located within the motion generated image. The embodiment further receives a light detection and ranging (lidar) generated point cloud including at least a portion of the one or more triangulated points, splats the lidar point cloud proximate to the portion of the one or more triangulated points and generates a second depth map for the portion and identifies an incorrect triangulated point, of the one or more triangulated points, based on comparing the first depth information to the second depth information. The incorrect triangulated points may be removed from the SfM map or marked with a low degree of confidence.

Abstract: Systems, methods, and computer-readable media are disclosed for obtaining data from multiple internal vehicle networks. An example method may include receiving, using a first internal communication network of a vehicle, a first query for data from one or more devices of the vehicle, wherein the first query is formatted for communication over the first internal communication network. The example method may also include generating, based on the first query, a second query associated with a supplemental communication network, wherein the supplemental communication network is also internal to the vehicle. The example method may also include sending, using the supplemental communication network, the second query to a first device, the first device being located on the supplemental communication network. The example method may also include receiving, from the first device, data relating to the second query.

Abstract: Disclosed herein are system, method, and computer program product aspects for enabling providing map updates to an autonomous vehicle (AV). The system can has four features that can (1) provide live map updates, (2) provide a mechanism to optimize map updates, (3) utilize AV sensors to provide local map updates and integrate into the broader map update system, and (4) provide a mechanism to provide low latency updates.

Abstract: Disclosed herein are system, method, and computer program product aspects for enabling providing map updates to an autonomous vehicle (AV). The system can has four features that can (1) provide live map updates, (2) provide a mechanism to optimize map updates, (3) utilize AV sensors to provide local map updates and integrate into the broader map update system, and (4) provide a mechanism to provide low latency updates.