هذه هي أحدث مجموعة مختارة من المنشورات وبراءات الاختراع العالمية باللغة الإنجليزية حول عملية الوصول العشوائي ثلاثي الأبعاد (SLAM) بين العديد من المجلات العلمية على الإنترنت، مصنفة ومركزة على عمليات الوصول العشوائي الآلي (SLAM) وLAYDAR وسحابة النقاط ومطابقة المسح الضوئي واستخراج الملامح وإغلاق الحلقة والتوطين المتزامن والتوطين المتزامن والتوطين ورسم الخرائط وقياس المسافات ومرشح كالمان واكتشاف الأجسام وأقرب نقطة تكرارية وشبكة فوكسل وإعادة البناء ثلاثي الأبعاد.
Light detection and ranging (lidar) system and operating method thereof
Patent published on the 2026-05-21 in US under Ref US20260140240 by SAMSUNG ELECTRONICS CO LTD [KR] (Park Sangyun [kr], You Jangwoo [kr], Choi Jinwoo [kr], Ko Byunghoon [kr], Kim Sunil [kr])
Abstract: A light-detection and ranging (LiDAR) system includes a signal generator configured to generate a plurality of lights each having a different wavelength from each other, a transceiver including a transmitter configured to emit the plurality of lights as a transmission light and a receiver configured to receive a reception light obtained by reflection of the transmission light from a target object, an optical path separator in the transceiver and configured to separate an optical path of the tran[...]
Our summary: A LiDAR system utilizes a signal generator to produce multiple wavelengths of light. It includes a transceiver that emits and receives light reflected from target objects. An optical path separator is employed to distinguish between the transmission and reception light paths.
LiDAR, signal generator, transceiver, optical path separator
Patent
Rf emitter grouping
Patent published on the 2026-05-21 in WO under Ref WO2026104793 by BAE SYSTEMS PLC [GB] (Ahmad Bashar [gb], Slade Samuel Jonathan [gb], Hiles Alexander Jack [gb])
Abstract: Methods, apparatus and systems are described configured to: obtain RF data at a remote node of a system, wherein the RF data is transmitted by a RF emitter; process the obtained RF data at the remote node using a trained RF emitter profiling model to perform feature extraction; determine whether the respective RF emitter is a known emitter; provide data relating to the RF emitter to a central node of the system in the event that the RF emitter is not a known emitter; and provide data relating to[...]
Our summary: The system obtains RF data from a remote node transmitted by an RF emitter. It processes the data using a trained profiling model for feature extraction. The system determines if the emitter is known and stores relevant data accordingly.
RF emitter, data processing, feature extraction, profiling model
Patent
Virtual reality pose estimation apparatus and method using haptic device
Patent published on the 2026-05-21 in WO under Ref WO2026106377 by UNIV NAT CHONNAM IND FOUND [KR] (Kim Myeong-jin [kr], Yong Han-bit [kr], Kim Hyeon-su [kr])
Abstract: The present invention relates to a virtual reality pose estimation apparatus and method using a haptic device. The apparatus comprises: an input unit for receiving, through a plurality of input devices, input point data for the estimation of a pose of a haptic device; a global feature extraction unit which inputs the input point data into a multilayer perceptron (MLP) model so as to extract point-wise features, and which extracts a global feature on the basis of the point-wise features; and a po[...]
Our summary: The invention details a virtual reality pose estimation system utilizing a haptic device. It includes an input unit for gathering data from multiple devices to estimate the haptic device s pose. A multilayer perceptron model extracts features from the input data, which are then processed by a hierarchical neural network for pose estimation.
virtual reality, pose estimation, haptic device, neural network
Patent
Accurate gas leak detection using tuneable diode lidar systems
Patent published on the 2026-05-21 in US under Ref US20260140258 by QLM TECH LTD [GB] (Ai Xiao [gb], Titchener James Graham [gb], Reed Murray Keith [gb])
Abstract: When using spectroscopic diode lidar to detect a gas of interest such as methane (CH4), detecting high concentration pathlength (CPL) values of the gas of interest may not actually indicate a plume or leak. In areas such as a refinery, where ambient gas levels may be routinely high, absorption from ambient gas measured over a long pathlength may produce the same CPL value as a much closer gas leak, leading to a false positive. By collecting and using lidar distance information in tandem with the[...]
Our summary: Tuneable diode lidar systems enhance gas leak detection accuracy. High concentration pathlength values can mislead detection in high ambient gas environments. Integrating lidar distance data with CPL values improves reliability and alarm triggering for gas leaks.
lidar, gas detection, methane, spectroscopic measurements
Patent
Systems and methods for training multimodal language models
Patent published on the 2026-05-21 in US under Ref US20260141697 by SALESFORCE INC [US] (Zhang Jieyu [us], Xue Le [us], Wang Jun [us], Shu Manli [us], Yan An [us], Chen Zeyuan [us], Xu Ran [us])
Abstract: [0000] A training framework includes a transparent and unbiased dataset generation pipeline to generate unbiased multi-modal training data for training a multi-modal LLM. Specifically, one or more images may be annotated using image recognition models, e.g., for object detection, attributes, relations, segmentation, etc. Then, the generated annotations are used to generate scene graph. A scene graph is a data structure that represents objects with attributes in an image as nodes and relationship[...]
Our summary: This training framework generates unbiased multimodal data for language models. It uses image recognition models to annotate images and create scene graphs. Question-answer pairs are systematically generated and included in the training dataset for the multimodal LLM.
multimodal, language models, dataset generation, scene graph
Patent
Adaptive hyperdimensional computing for noise-resilient on-device time series forecasting
Patent published on the 2026-05-21 in US under Ref US20260141286 by UNIV CALIFORNIA [US] (Moreno Ivannia Gomez [us], Yu Xiaofan [us], Rosing Tajana Simunic [us])
Abstract: [0000] Some inventive concepts described herein relate to an Adaptive Hyperdimensional Forecasting System that provides a robust and lightweight solution for on-device time series forecasting by integrating Hyperdimensional Computing with a Kalman Filter. The system can combine the resilience of the Kalman Filter to sensor noise with the computational efficiency of HDC, making it highly suitable for edge deployment. The system can encode historical data into high-dimensional hypervectors and app[...]
Our summary: The Adaptive Hyperdimensional Forecasting System integrates Hyperdimensional Computing with a Kalman Filter for noise-resilient time series forecasting. It encodes historical data into high-dimensional hypervectors and uses an iterative Kalman process for weight estimation. This lightweight solution is optimized for edge devices, ensuring efficient and accurate real-time forecasts in resource-constrained environments.
Adaptive Hyperdimensional Computing, Time Series Forecasting, Kalman Filter, Edge Deployment
Patent
An explainable multimodal large language model for 3D object comparison
Published on 2026-04-17 by @OXFORD
Abstract: AbstractObject comparison, a core cognitive ability for human understanding and decision-making, is essential in complex three-dimensional (3D) environments, such as enabling intelligent robotic systems to autonomously select appropriate tools and plan sequences of object manipulations, supporting computer-aided design (CAD) in assessing modifications against previous models, and ensuring quality control by verifying whether manufactured products match their original designs. However, there is a[...]
Our summary: Comp-PointLLM is a novel multimodal large language model for comparing 3D point cloud objects. It integrates 3D geometric and 2D visual features to enhance object understanding. Experimental results show significant performance improvements and strong zero-shot generalization capabilities.
multimodal, large language model, 3D object comparison, explainability
Publication
A frequency-enhanced transformer-based UAV multi-scale small object detector for aerial imagery
Published on 2026-04-02 by @OXFORD
Abstract: AbstractSmall object detection in UAV (Unmanned Aerial Vehicle) aerial imagery faces significant challenges, including insufficient feature representation, severe background noise interference, and inadequate multi-scale fusion. To address these issues, this study proposes UMS-DET (Unmanned Aerial Vehicle Multi-scale Small-object Detector), a specialized framework engineered to optimize multi-scale representation and small object discrimination in UAV views. Firstly, we design the Multi-Scale Co[...]
Our summary: UMS-DET is a specialized framework for small object detection in UAV aerial imagery. It optimizes multi-scale representation and discriminative capabilities through advanced feature fusion techniques. Experimental results show significant improvements in accuracy and efficiency, making it suitable for complex environments.
UAV, small object detection, multi-scale representation, frequency enhancement
Publication