Abstract: The disclosed technology provides solutions for evaluating risk (e.g., collision risk) associated with different vehicle trajectories through an environment. A process of the disclosed technology can include steps for receiving a perception output, wherein the perception output identifies at least one dynamic entity in an environment, determining a projected trajectory for an autonomous vehicle (AV) based on the perception output, and calculating a risk metric for the AV based on the perception output and the projected trajectory for the AV, wherein the risk metric comprises an unrealized risk score that is based on a probability of future collision between the AV and the dynamic entity. Systems and machine-readable media are also provided.

Abstract: Determining control operations for an autonomous vehicle may include receiving, by an operational model, an operational model input based on camera data from one or more cameras of an automated vehicle; determining, by the operational model, based on the input, a current environmental state and a predicted environmental state; providing, to a rules module, a differential between the current environmental state and a previously predicted environmental state; and determining, based on the rules module, one or more control operations for the automated vehicle.

Abstract: There is provided a method of treating obesity and/or hypertension in a subject in need thereof by administering a therapeutically effective amount of a low molecular weight levan or a pharmaceutical composition comprising the low molecular weight levan and a pharmaceutically acceptable excipient.

Abstract: Disclosed herein are TLR-agonists compounds, antibody-TLR agonist conjugates, pharmaceutical composition, and methods of use of such compounds or conjugates as therapeutics for treating a disease or condition such as cancer.

Abstract: The disclosed technology provides solutions for validating/verifying perception outputs, e.g., from a perception module of an autonomous vehicle (AV) software stack. In some aspects, a process of the disclosed technology can include steps for providing sensor data to a perception module, receiving, from the perception module, a first perception output based on the sensor data, providing the sensor data to a validation module, and receiving, from the validation module, a second perception output based on the sensor data. In some aspects, the process can further include steps for determining if the first perception output corresponds with the second perception output. Systems and machine-readable media are also provided.

Abstract: The disclosed technology provides solutions for validating/verifying perception outputs, e.g., using multiple perception modules. In some aspects, a process of the disclosed technology can include steps for receiving sensor data, providing the sensor data to each of a plurality of perception modules, receiving a perception output from each of the plurality of perception modules, and determining a ground-truth perception output based on the perception outputs received from each of the plurality of perception modules. Systems and machine-readable media are also provided.

Abstract: The subject disclosure relates to techniques for filtering perception-related artifacts. The disclosed technology can include receiving, by a machine learning model, a first output generated by a perception system model onboard an autonomous vehicle, wherein the first output is based on sensor data received from sensors of the autonomous vehicle at a first time and includes an inaccurate perception of an environment around the autonomous vehicle, receiving, by the machine learning model, a second output generated by the perception system model onboard the autonomous vehicle, wherein the second output is based on sensor data received from sensors of the autonomous vehicle at a second time after the first time and includes an accurate perception of the environment around the autonomous vehicle, and altering, by the machine learning model, the inaccurate perception of the environment from the first output based on the accurate perception of the environment in the second output.

Abstract: The subject disclosure relates to techniques for enabling autonomous vehicles to reason about similarities of features between drivable areas. A process of the disclosed technology can include receiving first sensor data corresponding with a first roadway segment, receiving second sensor data corresponding with a second roadway segment, encoding the first sensor data into a first vector, wherein the first vector represents a first roadway characteristic associated with the first roadway segment, encoding the second sensor data into a second vector, wherein the second vector represents a second roadway characteristic associated with the second roadway segment, and determining a similarity between the first roadway segment and the second roadway segment based on the first vector and the second vector.

Abstract: The present invention provides a recombinant microorganism for producing citicoline and a method for producing citicoline by using the recombinant microorganism, wherein genes for degradation and utilization of citicoline, choline, and phosphocholine are knocked out, In addition, a pyrimidine nucleoside synthesis pathway is genetically engineered to remove feedback inhibition to the synthesis pathway. A yield of more than 20 g/L of citicoline can be obtained with recombinant strains in a 5-liter fermenter by means of a biological fermentation method, achieving industrial mass production with low citicoline production costs and less pollution; therefore, the method is a simple, environmentally friendly and has a relatively high promotion and application value.

Abstract: A camera extrinsic parameter correction method includes acquiring multiple road surface images continuous in time and performing classification to obtain a mutated image and a time-adjacent image corresponding to the mutated image; determining a matching point pair from pixel points of the mutated image and pixel points of the corresponding time-adjacent image and determining a target view angle point pair of the matching point pair in a target view angle; and correcting a camera extrinsic parameter corresponding to the mutated image according to the difference between two target view angle points in the target view angle point pair, where the camera extrinsic parameter is configured for conversion of a pixel point in a current view angle into a pixel point in the target view angle.

Abstract: The present invention provides compositions and methods comprising interleukin-2 (TL-2) polypeptide conjugates. Also described are IL-2 conjugates for the treatment of diseases or conditions including cancer.

Abstract: Camera data normalization for an autonomous vehicle are described herein, including: receiving, from one or more cameras of the autonomous vehicle, camera data; applying a color normalization to the camera data; applying a spherical reprojection to the camera data; and applying, based on a registration point, a stabilization to the camera data.

Abstract: A rapid ultrasonic dual-wave calibrated detection method includes: numbering a plurality of high strength bolts; searching, in a database in equipment, a calibrated empirical value R0e of initial ratios R0 of ultrasonic transverse wave transit time to ultrasonic longitudinal wave transit time for bolts with entirely or partially same specification data, or a calibrated empirical value ke of a slope k of variation of a bolt tension with a ratio of transverse wave transit time to longitudinal wave transit time; measuring ratios Ri of the ultrasonic transverse wave transit time to the longitudinal wave transit time for the plurality of high strength bolts; acquiring a pretightening axial force value, and using the pretightening axial force value in place of an average value of tensions of the plurality of high strength bolts, calculating calibrated another parameter ke or R0e; and calculating axial forces of the high strength bolts.

Abstract: A method of processing map data, an electronic device, and a storage medium, which relate to a field of a computer technology, in particular to fields of intelligent transportation technology, image processing technology, etc. The method of processing the map data includes: processing sensor data for a traffic object to obtain point cloud data for the traffic object, where the sensor data includes image data; obtaining mesh data based on the point cloud data; processing the image data based on an association between the mesh data and the image data, so as to obtain processed image data; and obtaining the map data for the traffic object based on the processed image data.

Abstract: The present invention relates to a maize gene ZmRAVL1 and a functional site and use thereof. The present invention locates the functional site for controlling the leaf angle phenotype to 240 bp by fine-mapping, and the insertion and deletion of this region lead to different leaf angle phenotypes. The present invention demonstrates that an inbred line improved with an excellent natural variation from the teosinte can increase maize yield under dense planting and broaden the source of elite alleles available in plant breeding. The present invention demonstrates that a reduced ZmRAVL1 expression by a genetic engineering technique (RNAi) has an influence on plant architectures, such as a reduced leaf angle, and thus it provides excellent genetic resources for genetic engineering breeding.

Abstract: Provided are methods for editing RNA by introducing a deaminase-recruiting RNA in a host cell for deamination of an adenosine in a target RNA, deaminase-recruiting RNAs used in the RNA editing methods, compositions and kits comprising the same.

Abstract: The present disclosure provides an electric jack with a current limiting protector, which relates to the technical field of mechanical equipment. The electric jack with the current limiting protector includes: a current limiting protector, a four-pin double-reset switch, a control motor, and a supporting leg main body. The current limiting protector is connected in parallel to the control motor through the four-pin double-reset switch. The current limiting protector, the four-pin double-reset switch, and the control motor are detachably mounted on the supporting leg main body. A first wiring terminal, a second wiring terminal, a third wiring terminal, a fourth wiring terminal, a fifth wiring terminal, and a current limiting protection circuit are distributed on the current limiting protector.

Abstract: A method and a system for extracting a characteristic signal from a power frequency signal, and a file management method therefor are provided.

Abstract: Techniques relating to monitoring map consistency are described. In an example, a monitoring component associated with a vehicle can receive sensor data associated with an environment in which the vehicle is positioned. The monitoring component can generate, based at least in part on the sensor data, an estimated map of the environment, wherein the estimated map is encoded with policy information for driving within the environment. The monitoring component can then compare first information associated with a stored map of the environment with second information associated with the estimated map to determine whether the estimated map and the stored map are consistent. Component(s) associated with the vehicle can then control the object based at least in part on results of the comparing.

Abstract: Detecting out-of-model scenarios for an autonomous vehicle including: determining, based on first sensor data from one or more sensors, an environmental state relative to the autonomous vehicle, wherein operational commands for the autonomous vehicle are based on a selected machine learning model, wherein the selected machine learning model comprises a first machine learning model; comparing the environmental state to a predicted environmental state relative to the autonomous vehicle; and determining, based on a differential between the environmental state and the predicted environmental state, whether to select a second machine learning model as the selected machine learning model.