Lokesh Das

According to our database, Lokesh Das authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PALCAS: A Priority-Aware Intelligent Lane Change Advisory System for Autonomous Vehicles using Federated Reinforcement Learning.

Yassine Ibork, Nhat Ha Nguyen, Myounggyu Won, Lokesh Das

CoRR, April, 2026

2025

Z-Merge: Multi-Agent Reinforcement Learning for On-Ramp Merging with Zone-Specific V2X Traffic Information.

Yassine Ibork, Myounggyu Won, Lokesh Das

CoRR, November, 2025

RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment.

Md. Morshed Alam, Lokesh Chandra Das, Sandip Roy, Sachin Shetty, Weichao Wang

Proceedings of the International Wireless Communications and Mobile Computing, 2025

MATRICS: A Multi-Agent Deep Reinforcement Learning-Based Traffic-Aware Intelligent Lane-Change System.

Lokesh Chandra Das, Myounggyu Won

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2023

Traffic Volume Prediction using Memory-Based Recurrent Neural Networks: A comparative analysis of LSTM and GRU.

Lokesh Chandra Das

CoRR, 2023

LCS-TF: Multi-Agent Deep Reinforcement Learning-Based Intelligent Lane-Change System for Improving Traffic Flow.

Lokesh Chandra Das, Myounggyu Won

CoRR, 2023

Intelligent Adaptive Electric Vehicle Motion Control for Dynamic Wireless Charging.

Lokesh Chandra Das, Dipankar Dasgupta, Myounggyu Won

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

RLPG: Reinforcement Learning Approach for Dynamic Intra-Platoon Gap Adaptation for Highway On-Ramp Merging.

Sushma Reddy Yadavalli, Lokesh Chandra Das, Myounggyu Won

IROS, 2023

WatchPed: Pedestrian Crossing Intention Prediction Using Embedded Sensors of Smartwatch.

Jibran Ali Abbasi, Navid Mohammad Imran, Lokesh Chandra Das, Myounggyu Won

IROS, 2023

2022

LSTM-Based Adaptive Vehicle Position Control for Dynamic Wireless Charging.

Lokesh Chandra Das, Dipankar Dasgupta, Myounggyu Won

CoRR, 2022

2021

D-ACC: Dynamic Adaptive Cruise Control for Highways with Ramps Based on Deep Q-Learning.

Lokesh Das, Myounggyu Won

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning.

Lokesh Chandra Das, Myounggyu Won

Proceedings of the 38th International Conference on Machine Learning, 2021