यह 3D SLAM पर अंग्रेजी में दुनिया भर के प्रकाशनों और पेटेंटों का हमारा नवीनतम चयन है, जो कई वैज्ञानिक ऑनलाइन पत्रिकाओं से लिए गए हैं, और SLAM, LiDAR, पॉइंट क्लाउड, स्कैन मैचिंग, फ़ीचर एक्सट्रैक्शन, लूप क्लोजर, एक साथ स्थानीयकरण, स्थानीयकरण और मानचित्रण, ओडोमेट्री, कल्मन फ़िल्टर, ऑब्जेक्ट डिटेक्शन, इटरेटिव क्लोजेस्ट पॉइंट, वॉक्सेल ग्रिड और 3D पुनर्निर्माण पर वर्गीकृत और केंद्रित हैं।
Powerline unmanned surfer
Patent published on the 2026-10-15 in WO under Ref WO2026217081 by THE BOARD OF REGENTS OF OKLAHOMA AGRICULTURAL AND MECH COLLEGES [US] (Faruque Imraan A [us], Patel Ujjval [us])
Abstract: A system and method for achieving powerline energy harvesting power are disclosed herein. The method comprises sensing a position and trajectory of a plurality of points of a powerline relative to a position and a trajectory of a UAV having an aerodynamic surface; estimating a local spatial wavelength (alternatively or additionally, spatial frequency) of the powerline having a catenary curve using a point cloud indicative of the plurality of points of the powerline; and modulating at least one a[...]
Our summary: The system enables powerline energy harvesting using an unmanned aerial vehicle (UAV). It senses the powerline s position and trajectory to estimate local spatial wavelengths. The UAV s aerodynamic surface is modulated to maintain parallel flight with the powerline.
Powerline energy harvesting, UAV trajectory estimation, aerodynamic surface modulation, catenary curve analysis
Patent
System and method for offline 3d object detection in traffic scenes using lidar data with multiple resolutions
Patent published on the 2026-10-15 in US under Ref US20260316782 by TORC ROBOTICS INC [US] (Li Dalong [us], Shoaib Syed Taha [us], Zhu Xinxiang [us], Badgett Marcus [us], Fei Juncong [de])
Abstract: A system of an autonomous vehicle is described. The autonomous vehicle is configured to collect point cloud data associated with a current time, perform a dynamic object detection on the point cloud data to identify at least one dynamic object, and apply a dynamic object weight to the at least one dynamic object. The autonomous vehicle is further configured to retrieve point cloud data associated with at least one additional period of time, aggregate the point cloud data associated with the curr[...]
Our summary: The system detects dynamic and static objects in traffic scenes using lidar data. It aggregates point cloud data from multiple time periods for comprehensive analysis. The vehicle applies weights to identified objects to enhance detection accuracy.
Lidar, 3D object detection, autonomous vehicle, point cloud data
Patent
System and method for detection of objects within receptacles
Patent published on the 2026-10-15 in WO under Ref WO2026217872 by KOONTZ BRENNAN [US] (Koontz Brennan [us])
Abstract: An object detection system includes a waste collection system configured to collect and store waste from one or more receptacles. A sensor system is configured to capture data indicative of one or more defined objects within the one or more receptacles. A computing system includes one or more processors and one or more non-transitory computer-readable media that collectively store instructions that, when executed by the one or more processors, configure the computing system to perform operations[...]
Our summary: The system detects objects within receptacles using a sensor system. It captures data to identify defined objects present in the waste. The computing system processes this data and generates control outputs based on the findings.
object detection, waste collection, sensor system, computing system
Patent
Kalman filter control for paced delivery of content
Patent published on the 2026-10-15 in US under Ref US20260320647 by ROKU INC [US] (Harmse Jorgen [us])
Abstract: Kalman filters are used to control paced content delivery, in which a content delivery platform delivers content to a specific subset of end users. A content provider can arrange with the platform to deliver content to a portion of the platform s users. The content provider may specify certain criteria or objectives for the content delivery strategy, e.g., targeting criteria, engagement, or reach. Kalman filters may be used to control the content delivery strategy. For example, a first control k[...]
Our summary: Kalman filters are utilized for managing paced content delivery to specific user subsets. They enable content providers to set criteria for engagement and reach. Multiple Kalman filters can control different aspects of the delivery strategy, such as pace and performance objectives.
Kalman filter, content delivery, control strategy, user engagement
Patent
Method and apparatus for controlling movement of robot using elevator
Patent published on the 2026-10-15 in US under Ref US20260319500 by SUNGSHIN WOMEN’S UNIV R&DB FOUNDATION [KR] (Kim Won Hee [kr], You Jaehoon [kr], Shim Soomin [kr], Hwang Seong Wook [kr], Kim Joon Young [kr], Kim Namgyo [kr], Kim Young Eun [kr], Kim Bo Kyung [kr], Ryoo Gyeongbin [kr], Oh Jeong Min [kr], Kang Ji Soo [kr])
Abstract: [0000] A method for controlling movement of a robot at an elevator includes: obtaining first sensing data of an internal space of the elevator using a camera sensor of the elevator and a weight sensor of the elevator; determining whether the robot is permitted to board the elevator based on the first sensing data; obtaining second sensing data of the internal space of the elevator using a lidar sensor disposed at the robot; based on the robot boarding the elevator, determining a first boardable [...]
Our summary: The method involves using sensors to gather data about the elevator s internal space. It assesses whether the robot can board based on this data. The robot s movement is controlled according to calculated boarding position coordinates.
robot movement, elevator control, sensing data, weight distribution
Patent
System and method for analyzing content using artificial intelligence
Patent published on the 2026-10-15 in US under Ref US20260320449 by XOVATION SOLUTIONS LLC [US] (Pourdastan Mahasti [us], Lease David Richard [us])
Abstract: [0000] A system and method for analyzing multimedia content using an agent-orchestrated artificial intelligence architecture is disclosed. The system receives video, audio, image, and text inputs from a user device and performs preliminary feature extraction. A server-based metadata extraction engine processes the input by qualifying modality types, extracting features using machine-learning and language-model techniques, and initiating an agent-based research process. Multiple research agents a[...]
Our summary: The system analyzes multimedia content through an AI architecture. It extracts features from various input modalities using machine learning techniques. An orchestration module coordinates research agents to refine results into structured metadata.
Artificial Intelligence, Multimedia Analysis, Machine Learning, Metadata Extraction
Patent
Adaptive parallel multi-representation MiniROCKET for time series classification
Published on 2026-10-05 by @OXFORD
Abstract: AbstractTime series classification has achieved strong performance through transformation-based methods such as MiniROCKET, which rely on fast random convolutional feature extraction from raw temporal signals. However, representing time series data in a single domain limits the ability to capture complex temporal–spectral and structural characteristics in diverse real-world datasets. In this study, we propose ManyROCKET, an adaptive parallel MiniROCKET framework that integrates multiple comple[...]
Our summary: ManyROCKET is an adaptive parallel framework for time series classification that integrates multiple signal representations. It utilizes seven established transformations to enhance feature extraction and classification performance. Extensive experiments show that ManyROCKET outperforms the standard MiniROCKET baseline across diverse datasets.
time series classification, MiniROCKET, multi-representation, adaptive framework
Publication
Deep learning-based speller system for decoding user intentions from pupillary light reflex signals using time-division flickering visual stimuli
Published on 2026-09-16 by @OXFORD
Abstract: AbstractDespite extensive studies on brain–computer interface (BCI)-based speller systems for individuals with motor disabilities as communication aids and, more recently, for healthy users as hands-free input devices, these systems continue to face practical limitations, including calibration and training requirements, high costs, and limited portability. This study proposes a keyboard-type 40-class pupillary light reflex (PLR)-based speller system to interpret user intentions through changes[...]
Our summary: This study presents a deep learning-based speller system that decodes user intentions from pupillary light reflex signals. The system uses time-division flickering visual stimuli and achieves high accuracy across various evaluation methods. It offers intuitive interaction without the need for calibration, making it a practical alternative to traditional BCI systems.
deep learning, brain-computer interface, pupillary light reflex, speller system
Publication
