ProjectNeura/LEADS
📦 Open Source ProjectProjectNeura
A powerful, data-driven instrumentation and control system for racing cars, featuring AI-assisted driving capabilities.
LEADS (Lightweight Embedded Automotive Driving System) is a comprehensive Python-based framework engineered for high-performance racing environments. It serves as a centralized hub for vehicle instrumentation, offering real-time monitoring of ECU data, electronic stability control (ESC) metrics, and sensor inputs. Beyond simple data visualization, the project incorporates AI and machine learning modules to facilitate assisted driving and predictive vehicle control. The architecture is modular, allowing developers to integrate custom control algorithms and data logging pipelines with ease. With a focus on both functionality and aesthetics, the system provides a polished dashboard interface that translates complex telemetry into actionable insights for drivers and engineers. Whether for electric vehicle research or competitive racing, LEADS offers a robust foundation for building intelligent, data-aware automotive systems.
💡Highlights
- ├─Python-based vehicle control system
- ├─Real-time telemetry & data logging
- └─AI-assisted driving capabilities
🎯For
- ├─Automotive Engineers
- ├─Racing Teams
- └─AI Researchers