4 citations · 8 across the 5 of their papers we have counts for
5 papers
SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning
Navid Mohammad Imran, Myounggyu Won
The Vehicle Routing Problem with Drones (VRPD) seeks to optimize the routing paths for both trucks and drones, where the trucks are responsible for delivering parcels to customer l…
VRPD-DT: Vehicle Routing Problem with Drones Under Dynamically Changing Traffic Conditions
Navid Imran, Myounggyu Won
The vehicle routing problem with drones (VRP-D) is to determine the optimal routes of trucks and drones such that the total operational cost is minimized in a scenario where the tr…
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…
Towards Fully Autonomous Drone-Based Last-Mile Delivery
Navid Mohammad Imran, Sabya Mishra, Myounggyu Won
The drone-based last-mile delivery is an emerging technology to deliver parcels using drones loaded on a truck. As more and more autonomous vehicles (AVs) will be available for del…
Reducing Operation Cost of LPWAN Roadside Sensors Using Cross Technology Communication
Navid Mohammad Imran, Myounggyu Won
Low-Power Wide-Area Network (LPWAN) is an emerging communication standard for Internet of Things (IoT) that has strong potential to support connectivity of a large number of roadsi…