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Machine Heart
Machine Heart
May 15, 2026 · Artificial Intelligence

FreeOcc: The First Training‑Free Open‑Vocabulary 3D Occupancy Mapping System (RSS‑2026)

FreeOcc introduces a training‑free, open‑vocabulary 3D occupancy prediction framework that combines SLAM‑based pose estimation, 3D Gaussian Splatting, and pretrained vision‑language models to build globally consistent semantic maps, achieving over‑two‑fold IoU improvements on EmbodiedOcc‑ScanNet and strong zero‑shot generalization on the new ReplicaOcc benchmark.

3D GaussianFreeOccSLAM
0 likes · 19 min read
FreeOcc: The First Training‑Free Open‑Vocabulary 3D Occupancy Mapping System (RSS‑2026)
Machine Heart
Machine Heart
Apr 8, 2026 · Artificial Intelligence

How DROID-W Achieves Stable SLAM in Complex Outdoor Dynamic Scenes

DROID-W introduces a dense differentiable bundle‑adjustment SLAM framework that models per‑pixel dynamic uncertainty from multi‑view consistency, runs at about 30 FPS on an RTX 5090, and dramatically reduces trajectory error on challenging outdoor datasets, outperforming prior dynamic SLAM methods.

Bundle AdjustmentDynamic SLAMSLAM
0 likes · 8 min read
How DROID-W Achieves Stable SLAM in Complex Outdoor Dynamic Scenes
Zhengtong Technical Team
Zhengtong Technical Team
Apr 15, 2025 · Artificial Intelligence

FAST‑LIO2 LiDAR‑IMU SLAM Implementation and Evaluation on Qiji Autonomous Patrol Vehicles

This article presents the technical background of SLAM, explains why GNSS‑based navigation fails in complex urban environments, describes the selection and testing of several LiDAR‑IMU SLAM algorithms—including FAST‑LIO2—on Qiji unmanned vehicles, and details the hardware configuration, algorithmic improvements, experimental workflow, and positioning results achieved in a real‑world patrol project.

FAST-LIO2LiDARMapping
0 likes · 9 min read
FAST‑LIO2 LiDAR‑IMU SLAM Implementation and Evaluation on Qiji Autonomous Patrol Vehicles
Liangxu Linux
Liangxu Linux
Feb 7, 2025 · Artificial Intelligence

How Robots Navigate Homes: Inside the Nav2 Autonomous Navigation Framework

Robotic vacuum cleaners use SLAM to map unknown homes, then rely on the ROS 2 Nav2 framework—comprising global and local planners, controllers, smoothers, and AMCL localization—to plan optimal paths, avoid dynamic obstacles, and generate velocity commands, with algorithms like Dijkstra, A*, DWA, and TEB explained.

AINav2ROS2
0 likes · 14 min read
How Robots Navigate Homes: Inside the Nav2 Autonomous Navigation Framework
Meituan Technology Team
Meituan Technology Team
Nov 17, 2022 · Artificial Intelligence

Tsinghua University-Meituan Digital Life Joint Research Institute Academic Salon

The Tsinghua‑Meituan Digital Life Joint Research Institute’s Academic Salon, a recurring forum since March 2022 that bridges academia and industry, will host Dr. Zhou Lipǔ on November 23 to present a large‑scale, high‑precision laser SLAM algorithm, with the session streamed via Tencent Meeting.

AIAcademic SeminarLarge-scale Optimization
0 likes · 6 min read
Tsinghua University-Meituan Digital Life Joint Research Institute Academic Salon
Meituan Technology Team
Meituan Technology Team
Jun 2, 2022 · Artificial Intelligence

Award-Winning Visual Odometry Algorithm (EDPLVO) Presented at ICRA 2022

At ICRA 2022, Meituan's drone research team earned the only Outstanding Navigation Paper award for their EDPLVO visual odometry algorithm, which extends photometric error to lines, reduces optimization variables, and achieves a 44% speedup over prior methods while improving accuracy for autonomous robot navigation.

EDPLVOICRA 2022SLAM
0 likes · 9 min read
Award-Winning Visual Odometry Algorithm (EDPLVO) Presented at ICRA 2022
Python Programming Learning Circle
Python Programming Learning Circle
Apr 4, 2022 · Artificial Intelligence

Comprehensive Python Code Collection for Robot Algorithms: Localization, Mapping, SLAM, Path Planning, and Tracking

This article presents a curated collection of Python implementations for widely used robot algorithms—including EKF/UKF localization, histogram filtering, Gaussian grid mapping, various SLAM techniques, grid‑based and sampling‑based path planners, and multiple trajectory tracking controllers—along with usage instructions and visual demonstrations.

PythonRoboticsSLAM
0 likes · 11 min read
Comprehensive Python Code Collection for Robot Algorithms: Localization, Mapping, SLAM, Path Planning, and Tracking
Kuaishou Tech
Kuaishou Tech
Feb 9, 2022 · Mobile Development

Kuaishou Mobile Mixed Reality System: Architecture, Algorithms, and Applications

This article presents Kuaishou's mobile mixed reality (MR) system, detailing its integration of deep learning, SLAM, and scene reconstruction for real‑time spatial computing, the design of a monocular depth‑estimation model, a lightweight 3D rendering engine, and its deployment across iOS and Android devices with various user‑facing effects.

Computer VisionDepth estimationKuaishou
0 likes · 16 min read
Kuaishou Mobile Mixed Reality System: Architecture, Algorithms, and Applications
Kuaishou Tech
Kuaishou Tech
Dec 1, 2021 · Industry Insights

Turning Sketches into Live AR Characters: Kuaishou’s All‑Things‑AR Technical Journey

This article details how Kuaishou transformed a user‑drawn sketch concept into the All‑Things‑AR feature, covering background inspiration, the end‑to‑end pipeline, data collection, mobile‑friendly segmentation model design, model optimizations, engineering integration, SLAM‑based camera localization, and final production results.

ARComputer VisionMobile Development
0 likes · 15 min read
Turning Sketches into Live AR Characters: Kuaishou’s All‑Things‑AR Technical Journey
Amap Tech
Amap Tech
Sep 24, 2020 · Artificial Intelligence

AR & Lane-Level Navigation Technology Evolution and Practice

In a 2020 Cloud Expo session, Alibaba Amap’s senior map expert Wang Qianwei detailed the evolution and practice of AR‑enabled lane‑level navigation, explaining how real‑time visual perception, cloud‑integrated high‑precision positioning (including MT‑SLAM) and fine‑grained 3‑D road models combine to deliver video‑augmented guidance, lane‑change alerts and traffic‑light status with roughly 30 cm accuracy.

MappingSLAM
0 likes · 9 min read
AR & Lane-Level Navigation Technology Evolution and Practice
DataFunTalk
DataFunTalk
Mar 5, 2020 · Artificial Intelligence

High‑Precision Mapping and Localization Technologies for Autonomous Driving

This article explains the principles, components, generation process, and challenges of high‑precision topological and point‑cloud maps, and describes satellite‑based, map‑based, and fused high‑precision localization methods that underpin perception, prediction, planning, and control in autonomous driving systems.

SLAMSensor Fusionautonomous driving
0 likes · 9 min read
High‑Precision Mapping and Localization Technologies for Autonomous Driving
DataFunTalk
DataFunTalk
May 9, 2019 · Artificial Intelligence

High‑Definition Maps and Localization for Autonomous Driving: Concepts, Pipeline, and Challenges

This article presents a comprehensive overview of high‑definition mapping for autonomous vehicles, covering topological and 3D grid maps, the data‑collection and processing pipeline, key challenges such as cost and scalability, and detailed discussions of SLAM, pose‑graph optimization, ICP, and multi‑sensor localization techniques.

3D grid mapHD mapICP
0 likes · 18 min read
High‑Definition Maps and Localization for Autonomous Driving: Concepts, Pipeline, and Challenges
DataFunTalk
DataFunTalk
Mar 15, 2019 · Artificial Intelligence

A Comprehensive Overview of Deep Learning Applications in Computer Vision

This article provides an extensive review of deep learning techniques applied to computer vision, covering the evolution of CNN architectures, image and video processing tasks, 2.5‑D and 3‑D reconstruction, object detection, segmentation, tracking, SLAM, and various practical applications such as AR, content retrieval, and autonomous driving.

CNNComputer VisionImage Processing
0 likes · 22 min read
A Comprehensive Overview of Deep Learning Applications in Computer Vision
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 20, 2018 · Mobile Development

How Alibaba’s xMedia SDK Is Shaping the Future of Intelligent Mobile Terminals

This article examines the evolution of smart terminals, outlines the sensor and computing trends driving new mobile experiences, and details Alibaba’s xMedia SDK—including its rich‑media foundation, on‑device deep‑learning engine (xNN), SLAM positioning (xSLAM), 3D rendering (xAnt3D), and cross‑platform capabilities—showcasing how these technologies enable more intelligent, decentralized user interactions.

3D renderingRich MediaSLAM
0 likes · 19 min read
How Alibaba’s xMedia SDK Is Shaping the Future of Intelligent Mobile Terminals