Obstacle Annotation and Vehicle Path Optimization (Research Intern, IIIT Delhi)
ImagePolygon
I meticulously annotated over 10,000 obstacles, including traffic lights, pedestrians, and vehicles, to support autonomous vehicle path optimization and real-time navigation. The annotation process involved achieving a high degree of accuracy using specialized annotation software. My labeling ensured reliable detection for downstream AI models focused on traffic safety and navigation improvement.
• Annotated objects on geospatial campus map images at 10–15 cm accuracy.
• Used LabelMe software for efficient and detailed obstacle annotation.
• Optimized AI-driven vehicle path planning through precise labeling.
• Contributed to safe and efficient autonomous navigation systems.
I meticulously annotated over 10,000 obstacles, including traffic lights, pedestrians, and vehicles, to support autonomous vehicle path optimization and real-time navigation. The annotation process involved achieving a high degree of accuracy using specialized annotation software. My labeling ensured reliable detection for downstream AI models focused on traffic safety and navigation improvement. • Annotated objects on geospatial campus map images at 10–15 cm accuracy. • Used LabelMe software for efficient and detailed obstacle annotation. • Optimized AI-driven vehicle path planning through precise labeling. • Contributed to safe and efficient autonomous navigation systems.
2023 - 2023