Muhammad Imad

Muhammad Imad
Kunsan National University

Master of Engineering

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2
Publications
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32
Citations
Introduction
Skills and Expertise
Mobile Robotics
Deep Learning

Publications

Publications (2)
Figure 3. Training of a pre-trained model using transfer learning and...
Figure 5. Comparison between model from scratch and model initialized...
Figure 10. Different emerging behaviors during simulation experiments....
Figure 11. The path followed by the robot while avoiding obstacles in a...
+3 Figure 12. (Top): The commanded forward velocity in simulation....
Deep Learning-Based NMPC for Local Motion Planning of Last-Mile Delivery Robot
Article
Full-text available
  • Oct 2022
Feasible local motion planning for autonomous mobile robots in dynamic environments requires predicting how the scene evolves. Conventional navigation stakes rely on a local map to represent how a dynamic scene changes over time. However, these navigation stakes depend highly on the accuracy of the environmental map and the number of obstacles. Thi...
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Figure 1. Overview of the proposed 3D object detection architecture....
Figure 2. Schematic representation of the birds-eye-view RGB map.
Figure 3. Transfer learning from classification to segmentation.
Figure 4. Schematic illustration of an encoder-decoder architecture....
+6 Figure 5. Comparison between model from scratch and model initialized...
Transfer Learning Based Semantic Segmentation for 3D Object Detection from Point Cloud
Article
Full-text available
  • Jun 2021
Three-dimensional object detection utilizing LiDAR point cloud data is an indispensable part of autonomous driving perception systems. Point cloud-based 3D object detection has been a better replacement for higher accuracy than cameras during nighttime. However, most LiDAR-based 3D object methods work in a supervised manner, which means their state...
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