🚗 Autonomous Driving | 🧠 Strategy Design | 💻 Control & Simulation
📍 Gothenburg，Shanghai | 🌱 Currently building ADAS strategy visualized on Carla
I'm currently a master's student in Systems, Control & Mechatronics at Chalmers, passionate about autonomous driving, ADAS functionality, and AI-based motion planning.
I build control strategies, write technical blogs, and prototype end-to-end behaviors like ACC with Cut-in/Cut-out handling, and Stop & Go moduls , LKA with Curvature Optimizationusing simulators such as CARLA.
My mission: Bridge the gap between system-level product definition and low-level control behavior implementation.
- Languages: Python, C++, Bash
- Skills & Topics:
- Simulation: CARLA, ROS
- Control & Planning: MPC, PID, Jerk-limited strategies, State Machines，DRL, Deep Machine Learning
- Dev & Tooling: Python, C++, Bash, Git, Docker
- Domains: Autonomous Driving, Behavior Strategy, Planning & Control
- Extras: Blogging | Visualization | Embedded | UAV control
End-to-end Adaptive Cruise Control demo with visualization, strategy transitions, and vehicle control via Python + CARLA.
- Strategy: Cruise / Follow / Brake / Cut-in / Stop & Go
- Input: Radar-like virtual data from CARLA
- Control: Acceleration commands via PID
- Output: Real-time visualization + debug HUD
📎 [Link coming soon]
中文技术博客，系统梳理了 ACC 功能的状态机、cut-in/cut-out策略、测试要点与控制公式。
- 博客主页
- 包含自动起步、误识别问题分析、TTC防撞策略等真实项目场景拆解。
Genetic Algorithm-powered UAV behavior selector using a Subsumption architecture.
- Finite-State + Learning hybrid model
- Real-time path planning + obstacle avoidance
- ROS + Cluon microservice implementation
🔗 Repo (coming soon)
- 🎯 LCC（Lane Centering Control）与 ALC（Automatic Lane Change）策略解析
- 🔄 LKA（车道保持辅助）策略设计与问题集
⚠️ NOP（Navigate on Pilot）功能逻辑与子功能模块解析
➡️ All available on: https://chloexue00.github.io
- Email:
[email protected] - Blog: https://chloexue00.github.io
- LinkedIn: [linkedin.com/in/fengxiangxue-005a39288]
“Do not go where the path may lead, go instead where there is no path and leave a trail.”