Core Design Concepts 1. Filter out invalid data: Exclude out-of-range values and sensor failures to prevent bad data from affecting results; 2. Branch processing based on valid data count: Dynamically adjust the fusion strategy according to the number of valid sensors, balancing accuracy and robustness; 3. Lightweight and efficient algorithm: Uses bubble sort + case-based … Read more
Recently, Professor He Xiufeng’s research group from the School of Earth Sciences and Engineering at Hohai University, along with collaborators, published a research paper titled “DALI-SLAM: Degeneracy-Aware LiDAR-inertial SLAM with novel distortion correction and accurate multi-constraint pose graph optimization” in the ISPRS Journal of Photogrammetry and Remote Sensing. LiDAR-Inertial Simultaneous Localization and Mapping (LI-SLAM) plays … Read more
Imagine a system that can accurately determine whether you are cooking, cleaning, or exercising, solely based on sensor data from your smartphone. The research team at Apple is making this scenario a reality by developing a novel multimodal sensor fusion method based on large language models (LLMs) for human activity recognition.This research was conducted in … Read more
Click the blue text to follow us Today’s Question In the last discussion on Bayesian methods Intelligent Connected Vehicles: Daily Question | Fundamentals of Multi-Sensor Fusion Algorithms (II): Multi-Bayesian Estimation, How to Quantify Fusion Decisions Under ‘Uncertainty’?, we mentioned that it must assign probabilities to explicit hypotheses (such as ‘there is a car’ or ‘there … Read more
As early winter approaches, with light snow on the horizon.On the afternoon of November 22, alumni from Huazhong University of Science and Technology gathered atChongqing Jingchu Embodied Intelligence Technology Co., Ltd.to hold a discussion on how to redefine the future mobility boundaries with ’embodied intelligence’.This exchange invited Yuan Jiahua, former president of the Chongqing branch … Read more
Technical Route Controversy: Hardware Redundancy vs. Algorithm Intelligence The development of autonomous driving technology has led to a clear division into two major technical camps: pure vision solutions and multi-sensor fusion solutions. This technical route controversy essentially represents a clash between the development philosophies of “hardware redundancy” and “algorithm intelligence.” The pure vision solution concentrates … Read more
The unmanned vehicle and vessel attitude sensor is a high-performance, cost-effective Attitude and Heading Reference System (AHRS). It is specifically designed for unmanned ground vehicles (UGV), unmanned surface vehicles (USV), underwater robots (ROV/AUV), and other mobile robotic platforms, capable of providing real-time, accurate three-dimensional attitude and heading data in complex dynamic environments, serving as the … Read more
Click the blue text to follow us Today’s Question In the last issue, we learned about the simple and intuitive weighted average method, but it has a core flaw: it cannot quantify ‘uncertainty’. Today, we introduce the Multi-Bayesian Estimation Method, which no longer simply believes in ‘who has more’, but tells us ‘how likely things … Read more
Abstract:MassRobotics, in collaboration with Lattice Semiconductor, has released a report on trends in robotics and AI, focusing on six key areas including sensor fusion and edge AI. FPGA technology addresses issues of latency, power consumption, and security, reshaping the landscape of industrial and consumer-grade smart devices. Introduction: Endorsed by 40 Industry Experts, Decoding the Evolution … Read more
The gap between planning and execution is often vast. A project that seems straightforward in theory, even with a controllable budget, orderly progress, and feasible technology, can encounter numerous obstacles once implemented. Transforming an idea into reality is not always smooth sailing; success largely depends on our ability to anticipate and navigate the unknown. In … Read more