A5060707194- Robotic Path Planning Algorithms
- Robotics and Sensor-Based Localization
- Image and Object Detection Techniques
- Smart Parking Systems Research
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Autonomous Vehicle Technology and Safety
- IoT and Edge/Fog Computing
- Underwater Vehicles and Communication Systems
- Control and Dynamics of Mobile Robots
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Algorithms and Applications
- Gene expression and cancer classification
- Flow Measurement and Analysis
- Water Quality Monitoring Technologies
- Space Exploration and Technology
- IoT-based Smart Home Systems
- Robotic Locomotion and Control
- Indoor and Outdoor Localization Technologies
BGI Group (China)
2018
National University of Defense Technology
2008-2017
WEGO (Web Gene Ontology Annotation Plot), created in 2006, is a simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results. Owing largely to the rapid development of high-throughput sequencing increasing acceptance GO, has benefitted from outstanding performance regarding number users citations recent years, which motivated us update version 2.0. uses results as input. Based on GO's standardized DAG (Directed Acyclic Graph) structured vocabulary...
Positive obstacles will cause damage to field robotics during traveling in field. Field autonomous land vehicle is a typical robotic. This article presents feature matching and fusion-based algorithm detect using LiDARs for vehicles. There are three main contributions: (1) A novel setup method of compact LiDAR introduced. improved the data density reduced blind region sensor. (2) mathematical model deduced under this new method. The ideal scan line generated by model. (3) Based on proposed...
Aiming to the navigation and control of Autonomous Land Vehicle (ALV), a new obstacle detection algorithm is presented, in which sequential sonar data from sensor pair combined improve accuracy robustness. The obstacles' features, depicted as points or lines, are firstly extracted according concentric arcs model returns. Then feature sequences during movement ALV, recognized localized using generalized Hough Transform. algorithm's validity approved through field test.
This work is an intelligent gas station information collection and exchange system based on the Intel processor, Minnowboard. Aim to obtain real-time data include tanks' status, guns' status billing from stations through sensor device placed each station. The Sensor Controllers connect oil tanks guns, collect real time data, then transmit these server running Minnow IoT(Internet of Things) gateway by a network protocol WebSocket. After processes it stores updates in cloud database. At same...
An dynamic filtering based obstacle detection algorithm is proposed for the navigation and control of Autonomous Land Vehicle (ALV).The detects obstacles using sequential sonar data from dual sensors.The model described at first.Then obstacles' features, depicted as lines, are extracted.Finally a described, in which return firstly processed through orientation trajectory information vehicle.The algorithm's validity approved field test cross-country environment.
In research on the navigation and control of an Autonomous Land Vehicle (ALV), ultrasonic obstacle detection system plays important role extending environment cognition capability ALV. With a goal improving accuracy detection, dynamic data filtering method based array is presented. The sonar return first processed through static according to geometric relationship array. Then, executed using orientation trajectory information vehicle. compared traditional method, which in typical field...