Competitions

Work reading view

Research papers, competition projects, and independent side projects. Click a thumbnail on the left to view details, or click a title or link below to visit the corresponding page.Research papers, competition projects, and independent side projects. Click a title or link below to visit the corresponding website.

Switch to Large view for bigger images and text.

Intelligent Low-Altitude Hub (UAV Ground Station System)

Qiushi Xie‡, Tuoyuan Zhu, Yachen Pang, Jingyuan Xia*

Apr–Jul 2026 · 2026 Intel Cup Embedded AI Track · National Second Prize

A multimodal UAV ground station built on Intel DK-2500. It turns gesture and gaze input into missions and supports simulation planning, autonomous patrol, target recognition, safety confirmation, and full-process logging.

Intelligent Low-Altitude Hub · Core FeaturesSix real system demonstrations

Takeoff · Patrol · Landing
Attitude Self-check
Simulation Flight
Free-waypoint Patrol
Gesture · Gaze Input
Fire · Face · Text Recognition
Multimodal Interaction3D SimulationAutonomous Route PlanningLow-altitude PatrolEdge Vision RecognitionFlight Safety Management

Wireless Digital Key Experimental System

Qiushi Xie‡, Tuoyuan Zhu, Yachen Pang, Jingyuan Xia*, Kan Xiao*

Jul–Aug 2026 · 2026 National Undergraduate Electronics Design Contest (Hubei) · Hubei First Prize

A digital key system using UWB ToF ranging, four-antenna PDoA angle estimation, and Kalman filtering for 4-bit identity verification, real-time three-zone classification, audiovisual greeting, and automatic locking control.

The 2026 contest was held at the provincial level with no national round; First Prize in the Hubei Division was the highest award available that year.

Digital Key System · Principles and ValidationUWB ToF / PDoA · Identity · Zone Control · Smart Lock

Digital key and smart lock system block diagram
System Loop · UWB transmission, positioning receiver, controller, and lock actuation
Dual-antenna PDoA azimuth estimation principle
Angle Estimation · Direction from phase difference of arrival
Four-antenna UWB receiver structure
Receiver Design · Four-antenna baselines and controller data link
Complete digital key system prototype
Integrated Prototype · 120° positioning base station, lock control, and host software
Digital key unlock-zone runtime interface
Runtime Interface · ID, range, azimuth, zone, and lock state
Digital key software flow
Control Flow · Verification, filtering, zone classification, and actuation
UWB digital key beacon
Digital Key · One-button startup and 4-bit identity beacon
Smart lock actuator
Actuator · Audiovisual greeting, automatic unlock, and exit locking
Localization, identity, and zone test results
Test Results · Localization accuracy, identity verification, and three-zone operation
0.04 mMaximum range error2.3°Maximum azimuth error4 bitConfigurable identity ID6 / 6Correct function decisions

Lingyun Ruitong: Low-Altitude Communication Signal Enhancement via Beam Tracking

Tianyang Lu‡, Zhenkai Peng, Yuyao Wu, Shun Zhang, Hao Dong, Shengce Yang, Yuxuan Han, Qiushi Xie, Sixu Liu, Yiyue Fang, Lufei Huang, Haifan Yin*, Li Tan*

Nov 2024–Jun 2025 · China International College Students’ Innovation Competition (2025) · University-level Bronze Award Apr 2025–Apr 2026 · Two Provincial Undergraduate Innovation and Entrepreneurship Training Program Projects

A low-altitude UAV communication system combining a dynamically reconfigurable metasurface receiver array, channel sensing, beam tracking, and interference suppression for rapid beam switching and directional signal enhancement.

Lingyun Ruitong · Overview and Award2025 China International College Students’ Innovation Competition · HUST university-level bronze award

Lingyun Ruitong overview: beam steering, beam tracking and simulated phase shifter structure
Overview · Beam steering, beam tracking and simulated phase shifter structure
Lingyun Ruitong award certificate: 2025 China International College Students’ Innovation Competition, HUST university-level bronze award
University-level Bronze Award · China International College Students’ Innovation Competition (2025)

Intelligent Smoke Detection System and Adaptive AI Threshold Optimization on an RA MCU Embedded Platform

Qiushi Xie‡, Yutong Bai, Jinghuan Xiao, Yujiang Zeng*

Apr–Aug 2025 · 8th National College Student Embedded Chip and System Design Contest — Chip Application Track · National Finals Second Prize

A lightweight smoke time-series prediction network deployed on the Renesas RA6M5, demonstrated through a dual-board comparison between AI prediction and a fixed-threshold baseline. It provides warnings 3–5 seconds earlier with a false-alarm rate below 0.5%, using a low-cost optical dust sensor and fully local MCU inference for affordable, offline operation.

Intelligent Smoke Detection · AI Prediction and Low-cost DeploymentRA6M5 · On-device AI · Dual-board A/B comparison

Dual-board comparison prototype at the national finals
National Finals Prototype · On-site A/B comparison of AI prediction and fixed-threshold boards
Smoke acquisition and prediction runtime interface
Live Data · Concentration acquisition, five-second prediction, and error display
Compact smoke detection prototype
Compact Prototype · Integrated display, alarm, and sensing
RA6M5 board inside the smoke detection system
Embedded Hardware · RA6M5, dust sensor, and audiovisual peripherals
Smoke detection system block diagram
System Loop · Acquisition, on-device prediction, display, and graded alarms
Smoke ground truth, prediction, and future trend curves
Time-series Forecasting · Ground truth, one-step prediction, and future trend
Lightweight neural network ROM, RAM, and compute requirements
Lightweight Deployment · 113,576 B ROM and 65,536 B peak RAM
Smoke prediction and graded alarm software flow
Software Flow · Calibration, prediction, state classification, and audiovisual alarms
3–5 sEarlier warning than fixed threshold≤0.5%System false-alarm rate70 msRA6M5 inference latency800+Self-collected smoke samples

Contact

Scan the QR code to connect

Contact QR code