Archna Choudhary
Papers
1
Total Citations
2
H-Index
1
About
Dr. Archna Choudhary is a leading researcher in autonomous vehicle systems, specializing in the intersection of reinforcement learning, trajectory planning, and safe human-vehicle interaction. Her most-cited work, "Adaptive Trajectory Planning in Autonomous Vehicles: A Hierarchical Reinforcement Learning Approach with Soft Actor-Critic" (2024), introduces a groundbreaking methodology that enables automated vehicles to execute complex lane changes in dynamic road environments. By integrating a hierarchical driver behavior framework with Soft Actor-Critic algorithms, Dr. Choudhary’s approach bridges the critical gap between high-level decision-making and low-level trajectory control, significantly enhancing both safety and adaptability. This work has already garnered 2 citations, reflecting its immediate relevance to the autonomous driving community. Her contributions are particularly notable for addressing real-world challenges such as merging in dense traffic and navigating unpredictable human drivers. Dr. Choudhary’s research is shaping the next generation of intelligent transportation systems, offering scalable solutions that prioritize both efficiency and safety. Her innovative use of hierarchical reinforcement learning marks a pivotal step toward fully autonomous, human-aware driving.
Research Focus
Key Achievements
Top Papers
- 1