Abstract: Approaches presented herein provide for the generation of a text-based representation of an environment. In particular, a large language model (LLM) can be used to generate a tokenized text string representation of an environment using information such as the semantics, topology, and geometry of the environment. A language model-generated representation can comply with real-world rules and constructs, and can account for omissions or errors in the input data based upon known relationships and semantics for various objects in the environment. Such representations can be used to generate reconstructions of existing environments, correct or augment previously-constructed representations, or generate representations of new but realistic environments that comply with real-world rules. A text-based representation can comprise a one-dimensional string of tokens, which can encapsulate the important spatial information and semantics of an environment.

Abstract: Approaches presented herein provide for the generation of a tokenized description of an environment for use in making decisions with respect to the environment. In particular, a large language model (LLM) can be used to generate a tokenized text string representation of an environment using sensor information captured at a specific location, as well as information about the semantics, topology, and geometry of the environment. A similarity-based search can be performed against tokenized descriptions for various locations until a single high-quality match is identified, and the geographic position of the match can be inferred to correspond to the current position of a vehicle that captured the sensor data.

Abstract: Approaches presented herein provide for the generation of a realistic, higher resolution representation of an environment using a trained language model. In at least one embodiment, map data representative of at least a portion of the environment can be obtained. This map data can be processed using a language model to generate a first tokenized description of the environment based on the input map data. This first tokenized description, which may be in a domain-specific language, can be passed as input to a language model, such as the same language model, which can generate a second tokenized description of the environment that is also in the domain-specific language, but includes additional detail and thus provides a higher resolution representation. This additional detail may include filling in of gaps or accounting for omissions, but may also include inferring aspects such as continuous lanes or complex intersection topography not identified in the input map data.

Abstract: Approaches presented herein provide for the automated, end-to-end generation of map data based at least in part on sensor data captured for an environment. At least one language model can be used to generate a text-based, tokenized description of the environment that includes semantics, topology, geometry, and/or other information for the environment. A generation pipeline can use one or more language models in one or more stages, and the data passed between stages can be in a determined tokenized representation format, as may correspond to a tokenized text string in a specific structured language.

Abstract: Approaches presented herein provide for the ability to process, store, index, and search geospatial information such as maps with flexible granularity. A set of observations, such as may include sensor data captured for a region of an environment, can be fed as input to a language model. The language model can generate a tokenized description of the region, as may include a text string of tokens encapsulating semantics, topology, geometry, and/or other aspects of the region. A feature vector or embeddings for the region can be generated based on the tokenized description, and a similarity search performed against a vector database, for example, to identify similar feature vectors corresponding to similar regions or domains. Labels or other information associated with these similar feature vectors can be automatically applied to the example region. Clustering of feature vectors or other embeddings can also be performed based in part on the similarity.

Abstract: Approaches presented herein provide for the identification of differences between local map data, for a region of a physical environment, and observation or perception data generated by one or more machines or other such sources. In at least one embodiment, sensors on an ego machine can capture sensor data for a region in which the ego machine is located, and a language model on the ego machine can compare this sensor data, or perception data generated using the sensor data, against the local map data. The language model can generate a tokenized description of identified differences, in a domain-specific language. The tokenized description can be transmitted to a map management service that can compare these differences against differences identified by other machines, for example, to determine whether to update and redistribute at least a portion of the map data.

Abstract: Approaches presented herein provide for the performance of quality assurance-related tasks with respect to a representation of an environment, such as a set of generated map data. In particular, a language model can be used to generate a tokenized representation of a map using information such as the semantics, topology, and/or geometry determinable from the map data. A language model-generated representation can comply with real-world rules and constructs, and can account for omissions or errors in the input data based upon known relationships and semantics for various objects in the environment. One or more language models can be used to not only identify potential issues in the map data, but also to make recommendations for modifications and/or to generate plaintext descriptions of the issues, modifications, or recommendations to assist a human reviewer in addressing the issues.

Abstract: The present disclosure relates to a method 200 of controlling a system 101, 102, 103 including a heating arrangement 130 for heating a process medium 140, a sensing arrangement 180, and a switching arrangement 120 configured to selectively couple a power supply 110 to the heating arrangement 130. The method 200 comprises: monitoring 210 a parameter of an electrical power provided by the power supply 110 using the sensing arrangement 180; comparing 230 the monitored parameter to a first threshold; and in response to a determination that the monitored parameter exceeds the first threshold: controlling 232 the switching arrangement 120 to decouple the power supply 110 from the heating arrangement 130.

Abstract: The present disclosure relates to a method 200, 200? of assessing a condition of a heating arrangement 130 for heating a process medium 140, the method 200, 200? comprising: monitoring 210 a voltage supplied to the heating arrangement 130 by a power supply 110 using a voltage sensing arrangement 182; monitoring 220 a current drawn by the heating arrangement 130 using a current sensing arrangement 184; storing 260, 270, 270? information relating to the monitored current and the monitored voltage; and assessing 280, 290, 290? the condition of the heating arrangement based on the stored information relating to the monitored current and the monitored voltage.

Abstract: The present disclosure relates to a method 200 of controlling a system 100, 100?, 100? including a heating arrangement 130 for heating a process medium 140, a current sensing arrangement 180, and a switching arrangement 120 configured to selectively couple a power supply 110 to the heating arrangement, the switching arrangement comprising at least one semiconductor switch 120A, 120B, 120C. The method 200 comprises: in response to a demand signal 224 for starting heating of the process medium 140, operating 204 the system in a test mode 230. Operating the system in the test mode 230 includes performing a test sequence 230A.

Abstract: A chest tube insertion device includes a semi-rigid curvilinear sheath body having a distal end and a proximal end, a lumen defined axially through the sheath body from the distal end to the proximal end, the lumen including a distal end opening at the distal end and a proximal end opening at the proximal end, and a tapered pneumostatic tube clamp at the distal end of the sheath body, the tube clamp including one or more clamp tabs angled radially inward toward the distal end opening. The chest tube insertion device is supported during insertion into the chest cavity by a stylet. The chest tube insertion device is also removable from a chest tube when a free end of the chest tube is positioned in the chest cavity of a patient.

Abstract: A system and method for reducing the responsibility of the user significantly by applying an optical system that can identify container like sample tubes with respect to their characteristics, e.g., shapes and inner dimensions, from their visual properties by capturing images from a rack comprising container and processing said images for reliably identifying a container tyle.

Abstract: A chest tube insertion device includes a semi-rigid curvilinear sheath body having a distal end and a proximal end, a lumen defined axially through the sheath body from the distal end to the proximal end, the lumen including a distal end opening at the distal end and a proximal end opening at the proximal end, and a tapered pneumostatic tube clamp at the distal end of the sheath body, the tube clamp including one or more clamp tabs angled radially inward toward the distal end opening. The chest tube insertion device is supported during insertion into the chest cavity by a stylet. The chest tube insertion device is also removable from a chest tube when a free end of the chest tube is positioned in the chest cavity of a patient.

Abstract: According to an aspect of an embodiment, operations may comprise for each of the set of geographic X-positions, accessing an HD map of a geographical region surrounding the geographic X-position, determining a convergence range for the geographic X-position, and storing the convergence range for the geographic X-position in the HD map. The operations may also comprise accessing the HD map, predicting a next geographic X-position of a target vehicle, predicting a covariance of the predicted next geographic X-position, accessing the convergence range for the geographic X-position in the HD map closest to the predicted next geographic X-position, estimating a current geographic X-position of the target vehicle by performing a localization algorithm, and determining a confidence value for the estimated current geographic X-position of the target vehicle based on the predicted next geographic X-position, the predicted covariance, and the accessed convergence range.

Abstract: According to an aspect of an embodiment, operations may comprise for each of the set of geographic X-positions, accessing an HD map of a geographical region surrounding the geographic X-position, determining a convergence range for the geographic X-position, and storing the convergence range for the geographic X-position in the HD map. The operations may also comprise accessing the HD map, predicting a next geographic X-position of a target vehicle, predicting a covariance of the predicted next geographic X-position, accessing the convergence range for the geographic X-position in the HD map closest to the predicted next geographic X-position, estimating a current geographic X-position of the target vehicle by performing a localization algorithm, and determining a confidence value for the estimated current geographic X-position of the target vehicle based on the predicted next geographic X-position, the predicted covariance, and the accessed convergence range.

Abstract: Methods of chest tube insertion include using an insertion device including a semi-rigid curvilinear sheath body having a distal end and a proximal end, a lumen defined axially through the sheath body from the distal end to the proximal end, the lumen including a distal end opening at the distal end and a proximal end opening at the proximal end, and a tapered tube clamp at the distal end of the sheath body, the tube clamp including one or more clamp tabs angled radially inward toward the distal end opening. The chest tube insertion device is supported during insertion into the chest cavity by a stylet. The chest tube insertion device is also removable from a chest tube when a free end of the chest tube is positioned in the chest cavity of a patient while suction is maintained.

Abstract: Portable globes may be provided for viewing regions of interest in a Geographical Information System (GIS). A method for providing a portable globe for a GIS may include determining one or more selected regions corresponding to a geographical region of a master globe. The method may further include organizing geospatial data from the master globe based on the selected region and creating the portable globe based on the geospatial data. The portable globe may be smaller in data size than the master globe. The method may include transmitting the portable globe to a local device that may render the selected region at a higher resolution than the remainder of the portable globe in the GIS. A system for providing a portable globe may include a selection module, a fusion module and a transmitter. A system for updating a portable globe may include a packet bundler and a globe cutter.

Abstract: A portable antenna system including a reflector with a center axis, a feed at the center axis of the reflector, a post with a rotatable bracket on the post. The system also includes a skew drive mounted to the bracket and having a first output coupled to the reflector at the center axis thereof to adjust the skew angle of the reflector, an elevation motor configured to rotate the rotatable bracket to vary the elevation of the reflector, and an azimuth motor configured to rotate the post to vary the azimuth of the reflector.

Abstract: According to an aspect of an embodiment, operations may comprise for each of the set of geographic X-positions, accessing an HD map of a geographical region surrounding the geographic X-position, determining a convergence range for the geographic X-position, and storing the convergence range for the geographic X-position in the HD map. The operations may also comprise accessing the HD map, predicting a next geographic X-position of a target vehicle, predicting a covariance of the predicted next geographic X-position, accessing the convergence range for the geographic X-position in the HD map closest to the predicted next geographic X-position, estimating a current geographic X-position of the target vehicle by performing a localization algorithm, and determining a confidence value for the estimated current geographic X-position of the target vehicle based on the predicted next geographic X-position, the predicted covariance, and the accessed convergence range.

Abstract: Portable globes may be provided for viewing regions of interest in a Geographical Information System (GIS). A method for providing a portable globe for a GIS may include determining one or more selected regions corresponding to a geographical region of a master globe. The method may further include organizing geospatial data from the master globe based on the selected region and creating the portable globe based on the geospatial data. The portable globe may be smaller in data size than the master globe. The method may include transmitting the portable globe to a local device that may render the selected region at a higher resolution than the remainder of the portable globe in the GIS. A system for providing a portable globe may include a selection module, a fusion module and a transmitter. A system for updating a portable globe may include a packet bundler and a globe cutter.