Reema Rallan
Papers
1
Total Citations
1
H-Index
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About
Dr. Reema Rallan is a rising innovator in the field of real-time computer vision and robotics, with a primary focus on advancing predictive object tracking systems. Her most notable contribution is the development of **DynamicVisionCore**, a groundbreaking framework that seamlessly integrates YOLOv8 for high-speed object detection with DeepSORT for robust multi-object tracking. This work directly addresses the critical challenge of achieving both high accuracy and low latency in dynamic robotic environments. Demonstrating a strong performance with a Multi-Object Tracking Accuracy (MOTA) of 72.5%, her framework sets a new benchmark for real-time applications. While her research is still in its early stages, the foundational impact of DynamicVisionCore—already garnering citations—positions Dr. Rallan as a key contributor to the next generation of autonomous systems, promising safer and more efficient interactions between robots and their surroundings. Her work is essential reading for anyone interested in the practical deployment of AI-driven perception in robotics.
Research Focus
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Top Papers
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