Abstract: The present disclosure generally relates to an object detection system. For example, aspects of the present disclosure relate to systems and techniques for performing object detection using sensor information, such as elevation and/or velocity information from one or more light-based sensors. One example apparatus generally includes one or more processors operably configured to: obtain sensor information indicating at least two objects in an environment; determine at least one of a velocity or an elevation associated with each object of the at least two objects; consolidate the at least two objects into a common object based on the at least one of the velocity or the elevation; and output an indication of the common object.

Abstract: An apparatus for voltage sharing of series connected battery modules in a DC microgrid includes a battery management system and a battery module controller that generates, for an mth of N converters connected together to a DC microbus, a droop current ?d,m that includes a converter voltage error signal {tilde over (v)}err,m multiplied by a droop multiplier gd(i). Each converter is a DC/DC converter connected between a battery module, with one or more battery cells, and the DC microbus. The mth converter uses the droop current ?d,m, a common current reference ?all of a battery pack that includes the battery modules and an input current ?m to the mth converter to control switching of the mth converter. The common current reference ?all is from the battery management system. The voltage error signal {tilde over (v)}err,m is based on an output voltage {tilde over (v)}o,m of the mth converter and an average converter output voltage {tilde over (v)}avgeodcmastereodcmastereodcmaster.

Abstract: A method of additively manufacturing is provided. The method may include successively depositing and fusing together layers of a superalloy powder mixture comprised of a base material powder and a eutectic powder, to build up an additive portion, which eutectic powder has a solidus temperature lower than the solidus temperature of the base material powder. The method may also include heat treating the additive portion at a temperature greater than 1200° C. to heal cracks and/or fill pores and to homogenize the alloy of which the additive portion is comprised. The additive portion alloy has a chemistry defined by the superalloy powder mixture. The base material powder may be formed of a nickel-base superalloy with an aluminum content by weight of at least 1.5%. The eutectic powder may be a nickel-base alloy including by weight about 6% to about 11% chromium, about 5% to about 9% titanium, and about 9% to about 13% zirconium, with balance nickel as its primary components.

Abstract: Embodiments include methods performed by a processor of a vehicle control unit for managing a driving condition anomaly. In some embodiments, the vehicle may receive a first driving condition based on data from a first vehicle sensor, receive a second driving condition based on data from another data source, determine a driving condition anomaly based on the first driving condition and the second driving condition, send a request for information to a driving condition database, receive the requested information from the driving condition database, and resolve the driving condition anomaly based on the requested information from the driving condition database.

Abstract: A high melt superalloy powder mixture is provided for use with additive manufacturing or welding metal components or portions thereof. The high melt superalloy powder may include by weight about 7.7% to about 18% chromium, about 10.6% to about 11% cobalt, about 4.5% to about 6.5% aluminum, about 10.6% to about 11% tungsten, about 0.3% to about 0.55% molybdenum, about 0.05% to about 0.08% carbon, and at least 40% nickel.

Abstract: Systems, methods, and devices for radio frequency (RF) ranging-aided localization and crowdsourced mapping are provided. In one aspect, a method performed by a user equipment (UE) includes obtaining sensor data comprising first radio frequency (RF) ranging data and imaging data. The method further includes tagging the first RF ranging data with location information and semantic information, wherein the semantic information is based on the imaging data, and wherein the semantic information indicates a first portion of the RF ranging data is associated with a static object type and a second portion of the RF ranging data is associated with a temporary-static object type different from the static object type. The method further includes transmitting, to a RF ranging assistance server, the first RF ranging data tagged with the location information and the semantic information.

Abstract: Techniques for autonomous uplink (AUL) transmissions are provided that allow for efficient use of shared radio frequency spectrum band resources. A user equipment (UE) may determine a duration of an AUL transmission and modify an uplink waveform or provide an indication to a base station of one or more channel resources that may be available for base station transmissions, in order to more fully utilize shared radio frequency spectrum band resources within a maximum channel occupancy time (MCOT). A base station may activate or deactivate AUL transmissions through downlink control information (DCI) transmitted to the UE. A UE and base station may exchange various other control information to provide relatively efficient autonomous uplink transmissions and use of the shared radio frequency spectrum band resources.

Abstract: System and method for processing a camera frame in a mobile device by partitioning the camera frame into different sections based on the distance from a vehicle to each of the sections and the required resolution of each of the sections. A mobile device comprises: a memory; a processor communicatively coupled to the memory, the processor configured to: receive a camera frame from a camera mounted on a vehicle traveling on a road; determine a drivable path of the vehicle; project the drivable path onto the camera frame; partition a part of the camera frame containing the drivable path into at least one section based on a distance from the vehicle to each of the at least one section; and determine a required resolution of each of the at least one section based on the distance from the vehicle to each of the at least one section.

Abstract: A system for detecting intrusions in secure networked computing systems is provided. Also provided are a method for detecting intrusions in secure networked computing systems and a computer-readable medium including instructions for detecting intrusions in secure networked computing systems. The method of detection includes placing cryptocurrency in plain site within the secure networked computing system to provide an incentive for an intruder to steal the cryptocurrency and thus provide a notification of the intrusion.

Abstract: Certain aspects of the present disclosure provide techniques for machine learning. A depth output from a depth model is generated based on an input image frame. A depth loss for the depth model is determined based on the depth output and an estimated ground truth for the input image frame, the estimated ground truth comprising estimated depths for a set of pixels of the input image frame. A total loss for the depth model is determined based at least in part on the depth loss. The depth model is updated based on the total loss, and a new depth output, generated using the updated depth model, is output.

Abstract: Various embodiments include methods and devices for training and implementing a tree-based behavior prediction model for use in autonomous vehicle control systems. Some embodiments may include labeling real-world autonomous vehicle run data to indicate an insight of the data, selecting an insight decision tree of the tree-based behavior prediction model for training using the labeled data, training the insight decision tree using the labeled data to classify a probability of an insight associated with the insight decision tree, and updating the tree-based behavior prediction model based on training the insight decision tree. Some embodiments may include selecting an insight decision tree of a tree-based behavior prediction model configured for classifying a probability of an insight associated with the insight decision tree, executing the insight decision tree, and outputting a probability of an insight determined from executing the insight decision tree using the data.

Abstract: An apparatus includes a battery pack with N battery bricks, each with a DC output voltage. The output of each brick is connected in series providing a bus voltage. Each brick includes battery power modules (“BPMs”) connected in parallel and each connected to a battery cell. Each BPM charges/discharges the connected battery cell. Each brick has a battery brick controller that provides a control signal to each brick's BPMs. A control signal of a BPM is derived from a BPM error signal that includes a battery cell current of the battery cell of BPM subtracted from a summation of an average current signal, a local droop current and a balancing current. The balancing current is based on a current SOC of the battery cell connected to the BPM and a desired SOC for the battery cell connected to the BPM. A BMS derives the balancing current for the BPMs.

Abstract: Methods and apparatuses are provided for use in wireless communication devices to provide a capability for vehicles to actively perform traffic planning with regard to other vehicles, for example, within a region comprising an intersection and possibly wherein the intersection is not associated with a device or service for such or similar purposes. Such underlying techniques may reduce traffic congestion in certain instances by allowing two or more vehicles to negotiate or otherwise coordinate safe traversal within a region comprising an intersection. Moreover, the traffic planning techniques may be of use for a variety and/or mixture of different types of vehicles, paths, intersections, etc.

Abstract: A method of manufacturing a hard-to-weld material by a beam-assisted additive manufacturing process is presented. The method includes depositing a first layer for the material onto the substrate, the first layer including a major fraction of a base material for the component and a minor fraction of a solder, depositing a second layer of the base material for the component and a thermal treatment of the layer arrangement. The thermal treatment includes a first thermal cycle at a first temperature above 1200° C. for a duration of more than 3 hours, a subsequent second thermal cycle at a second temperature above 1000° C. for more than 2 hours, and a subsequent third thermal cycle and a third temperature above 700° C. for more than 12 hours. A manufactured component is also presented.

Abstract: A device for processing image data is disclosed. The device can obtain a radar point cloud and one or more frames of camera data. The device can determine depth estimates of one or more pixels of the one or more frames of camera data. The device can generate a pseudo lidar point cloud using the depth estimates of the one or more pixels of the one or more frames of camera data, wherein the pseudo lidar point cloud comprises a three-dimensional representation of at least one frame of the one or more frames of camera data. The device can determine one or more object bounding boxes based on the radar point cloud and the pseudo lidar point cloud.

Abstract: A system and a method are disclosed for receiving a set of rules associated with a document type from a supplier entity. Each rule identifies a set of conditions and a set of actions to be taken after a document of a document type is signed if the set of conditions is satisfied. When a supplier entity sends a document of the document type to a signing entity and the signing entity provides an electronic signature, the system determines whether conditions of rules associated with the document type are satisfied. For each rule that is satisfied, the system performs actions identified by the rule.

Abstract: A method includes determining a current state of an environment of an autonomous agent, such as a vehicle. The method also includes determining, via a first neural network, a set of actions based on the current state. The method further includes determining whether further analysis of the set of actions is desired. The method selects an action from the set of actions using a model-based solution based on a reward and a risk of the action when further analysis is desired. The method also includes selecting the action from the set of actions according to a metric when further analysis is not desired. The method controls the autonomous agent to perform the selected action.

Abstract: Embodiments include methods performed by a processor of a vehicle control unit for managing a driving condition anomaly. In some embodiments, the vehicle may receive a first driving condition based on data from a first vehicle sensor, receive a second driving condition based on data from another data source, determine a driving condition anomaly based on the first driving condition and the second driving condition, send a request for information to a driving condition database, receive the requested information from the driving condition database, and resolve the driving condition anomaly based on the requested information from the driving condition database.

Abstract: Embodiments include methods performed by a processor of a vehicle control unit for managing a driving condition anomaly. In some embodiments, the vehicle may receive a first driving condition based on data from a first vehicle sensor, receive a second driving condition based on data from another data source, determine a driving condition anomaly based on the first driving condition and the second driving condition, send a request for information to a driving condition database remote from the vehicle, receive the requested information from the driving condition database, and resolve the driving condition anomaly based on the requested information from the driving condition database.

Abstract: A process of welding a superalloy is provided. The process includes applying a first amount of energy to a substrate comprised of the superalloy to form a melt pool along a length of the substrate and in a weld direction. The process also comprises advancing the melt pool in the weld direction along the length via the first amount of energy, the melt pool having a width transverse to the weld direction. Further, the process includes applying a second amount of energy to the substrate that extends outside the width of the melt pool at a trailing edge of the melt pool, which second amount of energy causes, relative to a process without application of the second amount of energy: broadening of the width of the melt pool at the trailing edge of the melt pool as the melt pool advances in the weld direction; and reducing segregation of artifacts and stress concentration along a centerline of the width.