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Navid Mohammad Imran

3 accepted papers

2025

Adapt-VRPD: Vehicle Routing Problem with Drones Under Dynamically Changing Traffic Conditions

IROS 2025

The vehicle routing problem with drones (VRPD) involves determining the optimal routes for trucks and drones to collaboratively deliver parcels to customers, aiming to minimize total operational costs. While various heuristic algorithms have been developed to address the problem, existing solutions

Cited by 0SourceScholar
2024

SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning

IROS 2024poster

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 locations, and the drones are dispatched from these trucks for parcel delivery, subsequently being retrieved by the truck…

Cited by 1SourceScholar
2023

WatchPed: Pedestrian Crossing Intention Prediction Using Embedded Sensors of Smartwatch

IROS 2023poster

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 data acquired through the front camera of the ego-vehicle to make a prediction of the pedestrian's crossing intention.…

Cited by 1SourceScholar