Abstract: One example method involves obtaining a plurality of scans of a field-of-view (FOV) of a light detection and ranging (LIDAR) device disposed inside a housing. Obtaining each scan of the plurality of scans comprises: transmitting, through a plurality of sections of the housing, a plurality of light pulses emitted from the LIDAR device in different directions toward the housing; and detecting a plurality of returning light pulses comprising reflected portions of the transmitted plurality of light pulses that are reflected back toward the LIDAR device. The method also involves detecting an obstruction that at least partially occludes the LIDAR device from scanning the FOV through the housing based on the plurality of scans.

Abstract: The invention relates to the field of medicinal chemistry, in particular to a substituted diaryl compound shown as a formula (I), a preparation method of the substituted diaryl compound, a medicinal preparation containing the substituted diaryl compound and medical application of the substituted diaryl compound. Pharmacological test results show that the substituted diaryl compound disclosed by the invention has a good inhibition effect on cells of human lung cancer (A549), human ovarian cancer (SKOV3), human melanoma (A375) and human colon cancer (LOVO).

Abstract: The technology relates to handling of self-reflections of sensor signals off of a portion of a vehicle that is operating in an autonomous driving mode. Vehicle pose information and sensor pose information are determined at a given point in time while operating in the autonomous driving mode. Return signals from one or more scans of the environment are received from onboard sensors such as lidar sensors. The system evaluates, based on the vehicle and sensor pose information, whether a segment between a given one of the one or more sensors and a received point from a selected one of the return signals crosses any surface of a 3D model of the vehicle. The received point is identified as a self-return point. In response to identifying the received point as a self-return point, the vehicle is able to perform a driving operation in the autonomous driving mode.

Abstract: Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling Doppler-assisted segmentation of points in a point cloud for efficient object identification and tracking in autonomous vehicle (AV) applications, by: obtaining, by a sensing system of the AV, a plurality of return points comprising one or more velocity values and one or more coordinates of a reflecting region that reflects a signal emitted by the sensing system, the one or more velocity values and the one or more coordinates obtained for the same instance of time, identifying that the set of the return points is associated with an object in an environment, and causing a driving path of the AV to be determined in view of the object.

Abstract: Reliable electrical connectors that enable simple architectures for systems in which connections are made through an opening of a casing. A connector may have a housing with an inner portion and an outer portion at least partially surrounding the inner portion. The inner portion may have first and second mating interfaces. The connector may have conductive elements each with first and second mating ends disposed in the first and second mating interfaces respectively. Intermediate portions of the conductive elements may be held by the inner portion of the housing to provide sealed electrical paths between the first mating interface and the second mating interface. The outer portion may be mounted against the casing with the first mating interface inside and second mating interface outside. The outer portion may have a support member embedded therein to improve its strength for an improved seal to the casing.

Abstract: One example method involves obtaining a plurality of scans of a field-of-view (FOV) of a light detection and ranging (LIDAR) device disposed inside a housing. Obtaining each scan of the plurality of scans comprises: transmitting, through a plurality of sections of the housing, a plurality of light pulses emitted from the LIDAR device in different directions toward the housing; and detecting a plurality of returning light pulses comprising reflected portions of the transmitted plurality of light pulses that are reflected back toward the LIDAR device. The method also involves detecting an obstruction that at least partially occludes the LIDAR device from scanning the FOV through the housing based on the plurality of scans.

Abstract: Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling Doppler-assisted segmentation of points in a point cloud for efficient object identification and tracking in autonomous vehicle (AV) applications, by: obtaining, by a sensing system of the AV, a plurality of return points comprising one or more velocity values and one or more coordinates of a reflecting region that reflects a signal emitted by the sensing system, the one or more velocity values and the one or more coordinates obtained for the same instance of time, identifying that the set of the return points is associated with an object in an environment, and causing a driving path of the AV to be determined in view of the object.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a surfel map to predict reflections in an environment. One of the methods includes receiving a surfel map comprising a plurality of surfels, wherein each surfel corresponds to a respective different location in an environment. Sensor data for one or more locations in the environment is obtained. The sensor data has been captured by one or more sensors of a vehicle. A range map that represents a projection of the surfel map is generated. Range data in the sensor data is compared to the range map to identify one or more locations in the range map that do not match the range data in the sensor data. The one or more locations in the range map that do not match the range data in the sensor data is classified as reflections.

Abstract: Aspects and implementations of the present disclosure relate to filtering of return points from a point cloud based on radial velocity measurements. An example method includes: receiving, by a sensing system of an autonomous vehicle (AV), data representative of a point cloud comprising a plurality of return points, each return point comprising a radial velocity value and position coordinates representative of a reflecting region that reflects a transmission signal emitted by the sensing system; applying, to each of the plurality of return points, at least one threshold condition related to the radial velocity value of a given return point to identify a subset of return points within the plurality of return points; removing the subset of return points from the point cloud to generate a filtered point cloud; and identifying objects represented by the remaining return points in the filtered point cloud.

Abstract: One example method involves obtaining a plurality of scans of a field-of-view (FOV) of a light detection and ranging (LIDAR) device disposed inside a housing. Obtaining each scan of the plurality of scans comprises: transmitting, through a plurality of sections of the housing, a plurality of light pulses emitted from the LIDAR device in different directions toward the housing; and detecting a plurality of returning light pulses comprising reflected portions of the transmitted plurality of light pulses that are reflected back toward the LIDAR device. The method also involves detecting an obstruction that at least partially occludes the LIDAR device from scanning the FOV through the housing based on the plurality of scans.

Abstract: Aspects and implementations of the present disclosure relate to filtering of return points from a point cloud based on radial velocity measurements. An example method includes: receiving, by a sensing system of an autonomous vehicle (AV), data representative of a point cloud comprising a plurality of return points, each return point comprising a radial velocity value and position coordinates representative of a reflecting region that reflects a transmission signal emitted by the sensing system; applying, to each of the plurality of return points, at least one threshold condition related to the radial velocity value of a given return point to identify a subset of return points within the plurality of return points; removing the subset of return points from the point cloud to generate a filtered point cloud; and identifying objects represented by the remaining return points in the filtered point cloud.

Abstract: Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling efficient object identification and tracking in autonomous vehicle (AV) applications by using velocity data-assisted mapping of first set of points obtained for a first sensing data frame by a sensing system of the AV to a second set of points obtained for a second sensing data frame by the sensing system of the AV, the first set of points and the second set of points corresponding to an object in an environment of the AV, and causing a driving path of the AV to be determined in view of the performed mapping.

Abstract: Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling Doppler-assisted segmentation of points in a point cloud for efficient object identification and tracking in autonomous vehicle (AV) applications, by: obtaining, by a sensing system of the AV, a plurality of return points comprising one or more velocity values and one or more coordinates of a reflecting region that reflects a signal emitted by the sensing system, the one or more velocity values and the one or more coordinates obtained for the same instance of time, identifying that the set of the return points is associated with an object in an environment, and causing a driving path of the AV to be determined in view of the object.

Abstract: Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling velocity estimation for efficient object identification and tracking in autonomous vehicle (AV) applications, including: obtaining, by a sensing system of the AV, a plurality of return points, each return point having a velocity value and coordinates of a reflecting region that reflects a signal emitted by the sensing system, identifying an association of the velocity values and the coordinates of return points with a motion of a physical object, the motion being a combination of a translational motion and a rotational motion of a rigid body, and causing a driving path of the AV to be determined in view of the motion of the physical object.

Abstract: The technology relates to handling of self-reflections of sensor signals off of a portion of a vehicle that is operating in an autonomous driving mode. Vehicle pose information and sensor pose information are determined at a given point in time while operating in the autonomous driving mode. Return signals from one or more scans of the environment are received from onboard sensors such as lidar sensors. The system evaluates, based on the vehicle and sensor pose information, whether a segment between a given one of the one or more sensors and a received point from a selected one of the return signals crosses any surface of a 3D model of the vehicle. The received point is identified as a self-return point. In response to identifying the received point as a self-return point, the vehicle is able to perform a driving operation in the autonomous driving mode.

Abstract: The present invention provides a preparation method for an anti-porcine reproductive and respiratory syndrome cloned pig, comprising: transferring CRISPR/Cas9 targeting vectors and CD163 gene homologous recombination modification vectors into fibroblasts of a pig to obtain positive clone cells, a seventh exon of porcine endogenous CD163 gene being replaced with a eleventh exon of human CD163-L1 gene, so that the positive clone cells are incapable of mediating invasions of PRRSV; taking the positive cell as nuclear transfer donor cells and oocytes as nuclear transfer recipient cells to obtain a cloned embryo by adopting a somatic cell nuclear transfer technology; and impregenating a pig by transferring the cloned embryo into the uterus of the pig, to obtain a cloned pig.

Abstract: The present invention provides a method for detecting a chicken Beard trait. Copy number variations of three DNA fragments were found to be present in the chromosomes of bearded chicken number 27, in the physical locations 1702269-1721521 bp, 4470331-4503417 bp, 3578409-3592890 bp; 3 molecular markers were determined, and 3 pairs of primers were designed for said molecular markers; the method of PCR is used for testing the chicken genome to be tested for the described 3 molecular markers; if the three target fragments of the PCR amplification reaction are 3200 bp, 501 bp, and 411 bp, then the detection result is positive; otherwise, the result is negative.