Abstract: An autonomy computing system including at least one memory configured to store machine executable instructions, and at least one processor coupled to the at least one memory is disclosed. The at least one processor is configured to execute the instructions to: (i) obtain a two-dimensional (2D) image feature from a plurality of images, the plurality of images generated based upon sensor data from a plurality of camera sensors; (ii) unproject the 2D image feature to a three-dimensional (3D) space to obtain a 3D image feature; (iii) estimate depth information for each pixel of a plurality of pixels, the plurality of pixels representing a portion of an image of the plurality of images; (iv) for the each pixel, predict depth error compensation, based upon the estimated depth information, to generate rectified depth information; and (v) generate a 3D object detection list using the rectified depth information and the 3D image feature.

Abstract: Provided are a solidly mounted resonator and a method for preparing a solidly mounted resonator. The solidly mounted resonator includes: a piezoelectric structure, wherein the piezoelectric structure includes: an upper electrode layer, a lower electrode layer and a piezoelectric layer. The lower electrode layer disposed corresponding to the piezoelectric structure, and the lower electrode layer includes: a protruding portion protruding downward corresponding to a lower surface of the lower electrode layer; the piezoelectric layer is disposed on an upper surface of the lower electrode layer; the upper electrode layer is disposed on an upper surface of the piezoelectric layer.

Abstract: An autonomy computing system of an autonomous vehicle for feature alignment in multimodal fusion is provided. The processor of the autonomy computing system is programmed to receive a first feature map of an environment and a second feature map of the environment. The autonomous vehicle is operating in the environment. The processor is further programmed to fuse the first feature map and the second feature map into a fused feature map by associating first cells in the first feature map with second cells in the second feature map based on at least one of uncertainty in the first feature map or uncertainty in the second feature map and determining the fused feature map based on attention between the first feature map and the second feature map among associated cells. The processor is also programmed to control operation of the autonomous vehicle based on the fused feature map.

Abstract: A system for model selection with an interacting multiple model (IMM) tracker is provided. The system includes sensors associated with a vehicle that detect an object and object attributes, and includes a database that stores the object attributes, road attributes, and models capable of being assigned to the object as representative of motion type of the object. The system includes a processing device that limits the models to a shortened list based on selection of only models relevant to the object having the object attributes and the road attributes, assigns a model probability to each of the models representative of an estimation of a correct determination of relevance of each of the models, sorts the shortened model list from highest to lowest model probability, and assigns selected model(s) from the shortened model list having the highest model probability and/or a model probability greater than a predefined value to the object.

Abstract: Provided is a fiber Bragg gratings (FBGs)-based six-dimensional strain sensor for monitoring a spatial principal strain, which belongs to the field of fiber grating strain sensing technologies. The FBGs-based six-dimensional strain sensor has six strain sensing units of a same structure that are arranged in six spatial directions of X, Y, Z, XY, XZ, and YZ, and also has a temperature sensing unit. By designing an integrated six-dimensional strain sensor, this application achieves simultaneous monitoring of strains in the six spatial directions, to obtain a distribution status of complex strains and the principal strain in internal space of a measured object. A six-dimensional strain sensor is designed with a multifunctional strain decoupling apparatus. A sensor strain decoupling model based on a BP-neural network is established according to calibration data of the decoupling apparatus. This application is applicable to the field of multidimensional spatial strain measuring.

Abstract: This document describes road modeling with ensemble Gaussian processes. A road is modeled at a first time using at least one Gaussian process regression (GPR). A kernel function is determined based on a sample set of detections received from one or more vehicle systems. Based on the kernel function, a respective mean lateral position associated with a particular longitudinal position is determined for each GPR of the at least one GPR. The respective mean lateral position for each of the at least one GPR is aggregated to determine a combined lateral position associated with the particular longitudinal position. A road model is then output including the combined lateral position associated with the particular longitudinal position. In this way, a robust and computationally efficient road model may be determined to aid in vehicle safety and performance.

Abstract: Provided is a wide-wavelength range demodulation method for cascaded fiber Bragging gratings (FBGs) of a six-axis multidimensional strain sensor. Laser emitted by a broadband light source is filtered by a dual-peak resonance LPFG to form a transmittance spectrum; a piezoelectric ceramic is controlled by a signal processing system to move, so that a dual-peak resonance LPFG fixed on the piezoelectric ceramic bends and deforms, to change a spectrum filtered by the dual-peak resonance LPFG; and laser passing through the dual-peak resonance LPFG enters a circulator through an optical isolator and then is incident to the cascaded FBGs of the six-axis strain sensor; and reflected light of the cascaded FBGs enters a photoelectric detector through a circulator and an attenuator, the photoelectric converter is configured to: convert a sum of intensities of reflected light of the cascaded FBGs into a voltage value, input the voltage value into the signal processing system.

Abstract: A method executed by a computing device of an autonomous vehicle includes (i) receiving first sensor data from a network of one or more sensors; (ii) generating a first prediction, based at least in part on the received first sensor data, for an object being associated with a first state with a first confidence value; (iii) receiving second sensor data from the network of one or more sensors after elapsing of time t after receiving the first sensor data; (iv) generating a second prediction, based at least in part on the received second sensor data, for the object being associated with a second state with a second confidence value; and (v) updating a state of the object in a hierarchical representation tree to be the first state or the second state based upon a higher confidence value between the first confidence value and the second confidence value.

Abstract: This document describes techniques and systems for generating a fused object bounding box based on uncertainty. At least two bounding boxes, each associated with a different sensor, is generated. A fused center point and yaw angle as well as length, width, and velocity can be found by mixing the distributions of the parameters from each bounding box. A discrepancy between the center points of each bounding box can be used to determine whether to refine the fused bounding box (e.g., find an intersection between at least two bounding boxes) or consolidate the fused bounding box (e.g., find a union between at least two bounding boxes). This results in the fused bounding box having a confidence level of the uncertainty associated with the fused bounding box. In this manner, better estimations of the uncertainty of the fused bounding box may be achieved to improve tracking performance of a sensor fusion system.

Abstract: The techniques and systems herein enable pose correction based on landmarks and barriers. A vehicle pose, one or more radar-occupancy grid (ROG) landmark locations relative to the vehicle, and one or more map landmark locations are received. Based on determined association probabilities of candidate pairs (e.g., treating the map landmark locations as observations), one of the ROG landmark locations and one of the map landmark locations are selected as corresponding to each other. An ROG barrier location and a map barrier location are identified, and ripple point locations are identified that are along the barriers at a radial distance from the landmarks. Based on the ripple point locations and a cost function, a pose correction for the pose is determined. By using the described techniques, reliable vehicle localization can be performed using radar data and a map in a wide array of environments without necessitating other sensors.

Abstract: A method for synthesis, assembly and function test of an artificial chloroplast genome of Chlamydomonas reinhardtii. Rational design has been carried out on the Chlamydomonas reinhardtii chloroplast genome for the first time, and total artificial synthesis of the Chlamydomonas reinhardtii chloroplast genome is proposed. By using totally chemically synthesized chloroplast genome segments, total chemical de novo synthesis and assembly of a chloroplast genome are achieved in a yeast-bacterium system. Then, a totally chemically synthesized chloroplast genome is transformed into Chlamydomonas cells to replace the original chloroplast genome, which works normally, and has been verified, fulfilling biological functions of the totally chemically synthesized chloroplast genome. According to the embodiments, the Chlamydomonas reinhardtii chloroplast genome is an efficient platform for carrying out synthetic biology operation.

Abstract: The present disclosure provides a radio frequency filter, including: a substrate; a supporting electrode protruded on a front surface of the substrate; and a thin film structure formed on the substrate and spaced with the substrate by the supporting electrode. An end surface of a top end of the supporting electrode is in sealing contact with a front surface of the thin film structure.

Abstract: A Chlamydomonas reinhardtii chloroplast-Saccharomyces cerevisiae-Escherichia coli shuttle vector and a construction method and use thereof. The construction method includes design, chemical synthesis, assembly and identification of a shuttle vector, as well as replication of the shuttle vector in Escherichia coli. The constructed shuttle vector is capable of shuttling and replicating among the Escherichia coli, a yeast, and a Chlamydomonas reinhardtii chloroplast. The shuttle vector of the present invention includes a replication element (CEN) for the yeast, a replication element (ori) for the Escherichia coli, and a Chlamydomonas reinhardtii chloroplast genome (SynCp V1.0).

Abstract: The present disclosure provides a method of preparing a radio frequency filter, including: a substrate; a supporting electrode protruded on a front surface of the substrate; and a thin film structure formed on the substrate and spaced with the substrate by the supporting electrode. An end surface of a top end of the supporting electrode is in sealing contact with a front surface of the thin film structure.

Abstract: Disclosed herein is a composite current collector, a manufacturing method thereof, an electrode and a lithium-ion battery comprising the composite current collector. The composite current collector comprises: a first porous conductive sheet, a substrate sheet, and a second porous conductive sheet that are laminated in sequence, and the first porous conductive sheet and the second porous conductive sheet comprise amorphous micropores throughout the porous conductive sheets, the substrate sheet is made of a high molecular non-conductive material, and the first porous conductive sheet and the second porous conductive sheet are in conduction with each other in the electrode tab area.

Abstract: A method of manufacturing a bulk acoustic wave filter is provided, including: forming an acoustic reflection air cavity, a sacrificial layer, a seed layer, a lower electrode layer and a piezoelectric layer of n resonators on a substrate in sequence, wherein n is greater than or equal to 2; taking N from 1 to n for respectively repeating following steps: forming an N-th metal hard mask layer, defining an effective area of a first resonator to an N-th resonator by using a photolithography process, removing the N-th metal hard mask layer outside the effective area of the first resonator to the N-th resonator, oxidizing the piezoelectric layer outside the effective area of the first resonator to the N-th resonator to form an N-th oxidized part of the piezoelectric layer, and etching the N-th oxidized part of the piezoelectric layer; removing the metal hard mask layer of the effective area of the first resonator to the N-th resonator, so as to form the piezoelectric layer having different thicknesses of the first

Abstract: This document describes techniques, systems, and methods for multi-scan sensor fusion for object tracking. A sensor-fusion system can obtain radar tracks and vision tracks generated for an environment of a vehicle. The sensor-fusion system maintains sets of hypotheses for associations between the vision tracks and the radar tracks based on multiple scans of radar data and vision data. The set of hypotheses include mass values for the associations. The sensor-fusion system determines a probability value for each hypothesis. Based on the probability value, matches between radar tracks and vision tracks are determined. The sensor-fusion system then outputs the matches to a semi-autonomous or autonomous driving system to control operation of the vehicle. In this way, the described techniques, systems, and methods can provide high-precision object tracking with quantifiable uncertainty.

Abstract: A chip encapsulation structure, including: a wafer provided with a groove; a first metal wire arranged on surfaces of the groove and the wafer; a metal solder ball arranged on the first metal wire or on a metal pad of the chip, and is configured to solder the metal pad of the chip to the first metal wire; a first plastic encapsulation film covering upper surfaces of the wafer, the chip and the first metal wire, and entering a gap between a periphery of a functional area of the chip and the first metal wire, so as to form a closed cavity among the wafer, the groove and the chip; an inductive structure arranged on an upper surface of the first plastic encapsulation film and/or a lower surface of the wafer, and connected to the chip through the first metal wire; and a pad arranged on the inductive structure.

Abstract: The techniques and systems herein enable pose correction based on landmarks and barriers. A vehicle pose, one or more radar-occupancy grid (ROG) landmark locations relative to the vehicle, and one or more map landmark locations are received. Based on determined association probabilities of candidate pairs (e.g., treating the map landmark locations as observations), one of the ROG landmark locations and one of the map landmark locations are selected as corresponding to each other. An ROG barrier location and a map barrier location are identified, and ripple point locations are identified that are along the barriers at a radial distance from the landmarks. Based on the ripple point locations and a cost function, a pose correction for the pose is determined. By using the described techniques, reliable vehicle localization can be performed using radar data and a map in a wide array of environments without necessitating other sensors.

Abstract: This document describes techniques, apparatuses, and systems for a grid-based road model with multiple layers. An example road-perception system generates a roadway grid representation that includes multiple cells. The road-perception system uses data from multiple information sources to generate a road model that includes multiple layers. Each layer represents a roadway attribute of each cell in the grid and includes one or more layer hypotheses. In this way, the described techniques and systems can provide an accurate and reliable road model and quantify uncertainty therein.