224 citations · 498 across the 18 of their papers we have counts for
18 papers
LCS-TF: Multi-Agent Deep Reinforcement Learning-Based Intelligent Lane-Change System for Improving Traffic Flow
Lokesh Chandra Das, Myounggyu Won
Discretionary lane-change is one of the critical challenges for autonomous vehicle (AV) design due to its significant impact on traffic efficiency. Existing intelligent lane-change…
RLPG: Reinforcement Learning Approach for Dynamic Intra-Platoon Gap Adaptation for Highway On-Ramp Merging
Sushma Reddy Yadavalli, Lokesh Chandra Das, Myounggyu Won
A platoon refers to a group of vehicles traveling together in very close proximity using automated driving technology. Owing to its immense capacity to improve fuel efficiency, dri…
WatchPed: Pedestrian Crossing Intention Prediction Using Embedded Sensors of Smartwatch
Jibran Ali Abbasi, Navid Mohammad Imran, Lokesh Chandra Das +1
The pedestrian crossing intention prediction problem is to estimate whether or not the target pedestrian will cross the street. State-of-the-art techniques heavily depend on visual…
LSTM-Based Adaptive Vehicle Position Control for Dynamic Wireless Charging
Lokesh Chandra Das, Dipankar Dasgupta, Myounggyu Won
Dynamic wireless charging (DWC) is an emerging technology that allows electric vehicles (EVs) to be wirelessly charged while in motion. It is gaining significant momentum as it can…
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning
Lokesh Das, Myounggyu Won
We present a novel adaptive cruise control (ACC) system namely SAINT-ACC: {S}afety-{A}ware {Int}elligent {ACC} system (SAINT-ACC) that is designed to achieve simultaneous optimizat…
An Experimental Study on Direction Finding of Bluetooth 5.1: Indoor vs Outdoor
Pradeep Sambu, Myounggyu Won
The Bluetooth Special Interest Group (Bluetooth SIG) introduced a new feature for highly accurate localization called the Direction Finding in the Bluetooth Core Specification 5.1.…