Abstract: Disclosed herein are techniques for efficiently providing controller data as part of a maintenance or update process. Techniques include receiving, from a first remote computing device, a message associated with at least one controller; extracting, based on the received message, an image of software associated with the at least one controller; accessing, based on the extracted image, a delta file; and transmitting the accessed delta file to a second remote computing device.

Abstract: Disclosed herein are techniques for automatically reconfiguring code based on function and subfunction analysis. Techniques include determining, by parsing a code structure representing a plurality of functions, that at least one first function has a threshold degree of complexity; identifying, in response to the determination, a plurality of subfunctions based on the at least one first function, the plurality of subfunctions having a commonality with the at least one first function; and forming a second function by reconfiguring the first function to call at least one of the identified plurality of subfunctions.

Abstract: In some implementations, a light detection and ranging (LIDAR) system includes a laser source configured to provide an optical signal at a first signal power, an amplifier having a plurality of gain levels, at which the amplifier is configured to amplify the optical signal, and one or more processors. The one or more processors are configured to, based on the first signal power and a duty cycle of the optical signal, vary a gain level of the amplifier from the plurality of gain levels to generate a pulse signal, transmit the pulse signal from the amplifier to an environment, receive a reflected signal that is reflected from an object, responsive to transmitting the pulse signal, and determine a range to the object based on an electrical signal associated with the reflected signal.

Abstract: Technology segments an input flight path into segments based on terrain data, identifies target altitude heights of endpoints of the segments based on the terrain data and a target cruise altitude of an aircraft, identifies local maximas associated with the segments that are arranged in an order along the input flight path, identifies one or more local maximas of the local maximas that represent a dip in altitude from a previous one or more of the local maximas, removes the one or more local maximas from the plurality of local maximas to generate a reduced list of local maximas, sets a plurality of waypoints as the endpoints and the local maximas in the reduced list of local maximas, generates a flight path based at least in part on the plurality of waypoints, and causes the flight path to be provided to the at aircraft.

Abstract: Systems and methods for identifying travel way features in real time are provided. A method can include receiving two-dimensional and three-dimensional data associated with the surrounding environment of a vehicle. The method can include providing the two-dimensional data as one or more input into a machine-learned segmentation model to output a two-dimensional segmentation. The method can include fusing the two-dimensional segmentation with the three-dimensional data to generate a three-dimensional segmentation. The method can include storing the three-dimensional segmentation in a classification database with data indicative of one or more previously generated three-dimensional segmentations. The method can include providing one or more datapoint sets from the classification database as one or more inputs into a machine-learned enhancing model to obtain an enhanced three-dimensional segmentation.

Abstract: An autonomous vehicle control system may include one or more processors configured to receive an electrical signal generated based on a returned optical signal that is reflected from an object. The one or more processors may determine a Doppler frequency shift of the returned optical signal over a first duration of the electrical signal. The one or more processors may generate a corrected electrical signal based on the Doppler frequency shift. The one or more processors may determine a range to the object based on the corrected electrical signal over a second duration that is shorter than the first duration. The one or more processors may control at least one of a steering system or a braking system based on the range.

Abstract: Waterjet cutting apparatus and related methods are disclosed herein. An example apparatus includes a tank defining a volume to contain a fluid therein, a fixture extending from the tank, and a tube extending from the tank, the tube to isolate the fixture and a part supported by the fixture from turbulence of the fluid disposed in the tank.

Abstract: Map data describing various geometric elements in a map used in autonomous vehicle localization is selectively weighted to vary the relative contributions of different geometric elements to an alignment operation. By doing so, the alignment operation may be biased to emphasize geometric elements associated with objects in an environment that are relatively more stable, e.g., roadways, walls, buildings, etc., over objects that are relatively less stable, e.g., vegetation, thereby in many instances improving alignment operation performance and/or availability.

Abstract: Disclosed embodiments relate to automatically providing updates to at least one vehicle. Operations may include receiving, at a server remote from the at least one vehicle, Electronic Control Unit (ECU) activity data from the at least one vehicle, the ECU activity data corresponding to actual operation of the ECU in the at least one vehicle; determining, at the server and based on the ECU activity data, a software vulnerability affecting the at least one vehicle, the software vulnerability being determined based on a deviation between the received ECU activity data and expected ECU activity data; identifying, at the server, an ECU software update based on the determined software vulnerability; and sending, from the server, a delta file configured to update software on the ECU with a software update corresponding to the identified ECU software update.

Abstract: A light detection and ranging (LIDAR) system include one or more LIDAR pixels including a transmit optical antenna, a receive optical antenna, a first receiver, and a second receiver. The transmit optical antenna is configured to emit a transmit beam. The receive optical antenna is configured to detect (i) a first polarization orientation of a returning beam and (ii) a second polarization orientation of the returning beam.

Abstract: A system for facilitating navigation of an aircraft comprises one or more processors and a memory coupled to the processors. The memory stores data into a data store and program code that, when executed by the processors, causes the system to detect an infrared site signal indicating a site code transmitted by one or more infrared beacons that form a beacon network around a site. The site code represents a site. In response to detecting the infrared site signal, the system determines the site indicated by the site code. The system searches for two or more infrared beacon signals and detects the two or more infrared beacon signals. In response to detecting the two or more infrared beacon signals, the system determines a location of the aircraft based on the two or more infrared beacon signals.

Abstract: A control system for an autonomous vehicle includes a time sensitive network switch and a control system interface. The control system interface includes a primary processing unit, a secondary processing unit, and a fault detection module. The control system receives a trajectory of an autonomous vehicle. The fault detection module detects a fault condition with the primary processing unit and prevents the primary processing unit from transmitting a primary control signal in response to the fault condition. The primary control signal is for autonomous control of the autonomous vehicle.

Abstract: Nozzles and systems for cleaning sensors of a vehicle are provided. An adjustable nozzle can include an inlet configured to receive a pressurized fluid, an adjustable oscillator coupled with the inlet, and an outlet coupled with the adjustable oscillator. The adjustable oscillator can be configured to receive the pressurized fluid from the inlet and generate an oscillating fluid, and can include a first oscillation wall comprising a first adjustable chamber modifier wall and a second oscillation wall comprising a second adjustable chamber modifier wall. The first adjustable chamber modifier wall and the second adjustable chamber modifier wall can define an adjustable mixing chamber configured to generate the oscillating fluid having one or more properties that are adjustable by the first adjustable chamber modifier wall or the second adjustable chamber modifier wall. The outlet can be configured to receive the oscillating fluid and eject the oscillating fluid from the adjustable nozzle.

Abstract: A light detection and ranging (LIDAR) sensor system for a vehicle can include: a light source configured to output a beam; a photonics integrated circuit (PIC) including a semiconductor die, the semiconductor die including a substrate having two or more semiconductor stacks respectively associated with two or more semiconductor devices formed on the substrate, the two or more semiconductor devices respectively configured to receive the beam from the light source and modify one or more features of the beam; a transmitter configured to receive the beam from the semiconductor die; and one or more optics configured to receive the beam from the transmitter and emit the beam towards an object.

Abstract: An example method includes (a) obtaining sensor data descriptive of an environment of an autonomous vehicle; (b) obtaining a plurality of travel way markers from map data descriptive of the environment; (c) determining, using a machine-learned object detection model and based on the sensor data, an association between one or more travel way markers of the plurality of travel way markers and an object in the environment; and (d) generating, using the machine-learned object detection model, an offset with respect to the one or more travel way markers of a spatial region of the environment associated with the object.