Xu Jiheng (徐基恒)- Embodied Intelligence for Unmanned Systems: VLN and VLA;Autonomous Driving Multimodal Fusion Object Detection 🚗🔍
Graduated from Nanjing University of Posts and Telecommunications with a degree in Network Engineering, subsequently admitted to Beihang University to pursue a Master's in Unmanned Systems Science and Technology. Aspiring to specialise in embodied intelligence. Accumulated extensive research experience during undergraduate studies, particularly in multimodal fusion, autonomous driving, and machine learning. My postgraduate research focuses on visual-linguistic navigation within embodied intelligence, with particular emphasis on the application of multimodal fusion techniques.
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Beijing University of Aeronautics and Astronautics
Institute of Unmanned Systems, Master's student in Unmanned Systems Science and Technology -
Nanyang Technological University
Completed the visiting program in Artificial Intelligence, awarded Excellent Degree -
Nanjing University of Posts and Telecommunications
Network Engineering, Bachelor's (Sep 2022 - Jun 2026)
GPA: 4.09, ranked in the top 2%
Major Courses: C Programming, Object-Oriented C++, Advanced Mathematics, Machine Learning, Linear Algebra, Python, Computer Networks, Operating Systems, etc.
- Proficient in autonomous driving object detection algorithms, successfully reproduced several relevant algorithms, and optimized their precision
- Experienced with Linux operating systems (CentOS, Ubuntu, etc.)
- Proficient in Python, C/C++, and other programming languages, with strong debugging skills
- Skilled in multi-GPU training and optimizing multimodal sensor data processing, achieving GPU utilization rates of over 98%
- Proficient in project environment configuration and remote programming
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18th "Challenge Cup" National College Students Extracurricular Academic and Technological Works Competition
National First Prize, Jiangsu Province Special Prize (Autonomous Driving Direction) -
Mathematical Modeling Competition (MCM/ICM)
International First Prize (Machine Learning Direction) -
2023 First National Cluster Intelligence Technology Challenge UAV "Swarm Delivery" Competition
National Excellence Award -
Internet+ College Students Innovation and Entrepreneurship Competition
Campus Gold Award -
Internet of Things Design Competition
Campus Third Prize -
Energy Conservation and Emission Reduction Innovation Practice Competition
Reached the National Competition (Mainly responsible for Arduino programming and hardware circuit design)
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Embodied Intelligence VLN, VLA
VLN Unmanned Systems Embodied Intelligence Domain for Drones, Ground Vehicles, and Functional Robots -
Autonomous Driving Multimodal Fusion Object Detection
As a key member, responsible for coding, sensor data training, and object detection algorithm generation, successfully improving SOTA model accuracy by over 5%. -
Autonomous Driving and Millimeter-Wave Radar Application Analysis
Investigated the application of millimeter-wave radar in autonomous driving and optimized the radar sensor data processing flow. -
Fully Automated IoT Agricultural System
Developed a fully automated agricultural monitoring system based on IoT technology, involving both hardware design and software development.
- Phone: 137-7629-7295
- Email: 1971396793@qq.com