Abstract: Generating a map associated with an environment may include collecting sensor data received from one or more vehicles and generating a set of links to align the sensor data. A mesh representation of the environment may be generated from the aligned sensor data. A system may determine a proposed link to add, a proposed link deletion, and/or a proposed link alteration, and receive a modification comprising instructions to add, delete, or modify a link. Responsive to receiving a modification, the system may re-align a window of sensor data associated with the modification. The modification and/or sensor data associated therewith may be collected as training data for a machine learning model, which may be trained to generate link modification proposals and/or determine sensor data that may be associated with a poor sensor data alignment.

Abstract: Techniques for a pose component that may determine a pose are described herein. A pose may refer to the inertial pose or position of a vehicle which may be updated in real-time or near real-time. For example, the techniques may include receiving a plurality of input signals at a pose component and monitoring the plurality of input signals. The pose component may determine, based on the monitoring of the plurality of input signals, a particular pose update algorithm of a plurality of pose update algorithms for determining the pose and determine, using the particular pose update algorithm, the pose based the plurality of input signals and IMU measurements associated with a primary IMU.

Abstract: Generating a map associated with an environment may include collecting sensor data received from one or more vehicles and generating a set of links to align the sensor data. A mesh representation of the environment may be generated from the aligned sensor data. A system may determine a proposed link to add, a proposed link deletion, and/or a proposed link alteration, and receive a modification comprising instructions to add, delete, or modify a link. Responsive to receiving a modification, the system may re-align a window of sensor data associated with the modification. The modification and/or sensor data associated therewith may be collected as training data for a machine learning model, which may be trained to generate link modification proposals and/or determine sensor data that may be associated with a poor sensor data alignment.

Abstract: Generating a map associated with an environment may include collecting sensor data received from one or more vehicles and generating a set of links to align the sensor data. A mesh representation of the environment may be generated from the aligned sensor data. A system may determine a proposed link to add, a proposed link deletion, and/or a proposed link alteration, and receive a modification comprising instructions to add, delete, or modify a link. Responsive to receiving a modification, the system may re-align a window of sensor data associated with the modification. The modification and/or sensor data associated therewith may be collected as training data for a machine learning model, which may be trained to generate link modification proposals and/or determine sensor data that may be associated with a poor sensor data alignment.

Abstract: Methods and apparatus for testing performance of an system under test are disclosed. The system under test is loaded with simulated traffic which may be generated from a single test port. The performance of the system under test under load may be tested.

Abstract: Methods and apparatus for testing performance of an system under test are disclosed. The system under test is loaded with simulated traffic which may be generated from a single test port. The performance of the system under test under load may be tested.

Abstract: A method and system for intelligently directing a search of a peer-to-peer network, in which a user performing a search is assisted in choosing a host which is likely to return fast, favorable results to the user. A host monitor monitors the peer-to-peer network and collects data on various characteristics of the hosts which make up the network. Thereafter, a host selector ranks the hosts using the data, and passes this information to the user. The user then selects one or more of the highly-ranked hosts as an entry point into the network. Additionally, a cache may collect a list of hosts based on the content on the hosts. In this way, a user may choose to connect to a host which is known to contain information relevant to the user's search. The host selector may be used to select from among the hosts listed in the cache.

Abstract: A method and system for intelligently directing a search of a peer-to-peer network, in which a user performing a search is assisted in choosing a host which is likely to return fast, favorable results to the user. A host monitor monitors the peer-to-peer network and collects data on various characteristics of the hosts which make up the network. Thereafter, a host selector ranks the hosts using the data, and passes this information to the user. The user then selects one or more of the highly-ranked hosts as an entry point into the network. Additionally, a cache may collect a list of hosts based on the content on the hosts. In this way, a user may choose to connect to a host which is known to contain information relevant to the user's search. The host selector may be used to select from among the hosts listed in the cache.

Abstract: The present invention relates to a ceiling fan blade capable of producing full wind pressure and much wind. The solution of the present invention is to form a front and a rear wind receiving surfaces on the ceiling fan blade. A tangent angle of the rear wind-receiving surface is bigger than that of the front wind-receiving surface. A wavy wind guide surface is formed between the two wind receiving surfaces. The wavy wind guide surface and the two wind receiving surfaces can effectively increase the wind pressure and the wind; in addition, sinuous flow is substantially reduced when the blade is rotating.