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N. Aouf

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedDeep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data

23 citations · 23 across the 1 of their papers we have counts for

collaborators

3 papers

cs.RO2020

Explainable Deep Reinforcement Learning for UAV Autonomous Navigation

Lei He, Aouf Nabil, Bifeng Song

Autonomous navigation in unknown complex environment is still a hard problem, especially for small Unmanned Aerial Vehicles (UAVs) with limited computation resources. In this paper…

cs.RO2020★ 23 cited

Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data

Lei He, Nabil Aouf, James F. Whidborne +1

In this paper, a deep reinforcement learning (DRL) method is proposed to address the problem of UAV navigation in an unknown environment. However, DRL algorithms are limited by the…

cs.CV2019

Single and Cross-Dimensional Feature Detection and Description: An Evaluation

Odysseas Kechagias-Stamatis, Nabil Aouf, Mark A. Richardson

Three-dimensional local feature detection and description techniques are widely used for object registration and recognition applications. Although several evaluations of 3D local…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.