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2020 – today
- 2024
[j4]Sara Hatami Gazani
, Matthew Tucsok, Iraj Mantegh, Homayoun Najjaran:
Bag of Views: An Appearance-Based Approach to Next-Best-View Planning for 3D Reconstruction. IEEE Robotics Autom. Lett. 9(1): 295-302 (2024)- [c12]Bingze Xia, Iraj Mantegh, Wen-Fang Xie:
Hybrid Framework for UAV Motion Planning and Obstacle Avoidance: Integrating Deep Reinforcement Learning with Fuzzy Logic. CoDIT 2024: 2662-2669 - [i3]Kesav Kaza, Varun Mehta, Hamid Azad, Miodrag Bolic, Iraj Mantegh:
An Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems. CoRR abs/2409.08472 (2024) - 2023
- [c11]Hamid Azad, Varun Mehta, Miodrag Bolic, Iraj Mantegh:
Simulated Dataset for the Loaded vs. Unloaded UAV Classification Problem Using Deep Learning. SAS 2023: 1-6 - [c10]Varun Mehta, Fardad Dadboud, Miodrag Bolic, Iraj Mantegh:
A Deep Learning Approach for Drone Detection and Classification Using Radar and Camera Sensor Fusion. SAS 2023: 1-6 - [c9]Sara Hatami Gazani, Fardad Dadboud, Miodrag Bolic, Iraj Mantegh, Homayoun Najjaran:
Object Semantics Give Us the Depth We Need: Multi-Task Approach to Aerial Depth Completion. SMC 2023: 2565-2570 - [i2]Sara Hatami Gazani, Fardad Dadboud, Miodrag Bolic, Iraj Mantegh, Homayoun Najjaran:
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion. CoRR abs/2304.12542 (2023) - [i1]Sara Hatami Gazani, Matthew Tucsok, Iraj Mantegh, Homayoun Najjaran:
Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D Reconstruction. CoRR abs/2307.05832 (2023) - 2021
- [c8]Angelo Coluccia, Alessio Fascista, Arne Schumann, Lars Sommer, Anastasios Dimou, Dimitrios Zarpalas, Fatih Cagatay Akyon, Ogulcan Eryuksel, Kamil Anil Ozfuttu, Sinan Onur Altinuc, Fardad Dadboud, Vaibhav Patel, Varun Mehta, Miodrag Bolic, Iraj Mantegh:
Drone-vs-Bird Detection Challenge at IEEE AVSS2021. AVSS 2021: 1-8 - [c7]Fardad Dadboud, Vaibhav Patel, Varun Mehta, Miodrag Bolic, Iraj Mantegh:
Single-Stage UAV Detection and Classification with YOLOV5: Mosaic Data Augmentation and PANet. AVSS 2021: 1-8 - 2020
- [c6]Iraj Mantegh, Jack Liao, Tong He:
Integrated Collision Avoidance for Unmanned Aircraft Systems with Harmonic Potential Field and Haptic Input. SII 2020: 927-932 - [c5]Xu Zhang, Varun Mehta, Miodrag Bolic, Iraj Mantegh:
Hybrid AI-enabled Method for UAS and Bird Detection and Classification. SMC 2020: 2803-2807
2010 – 2019
- 2017
- [j3]Aleksandar Vakanski, Farrokh Janabi-Sharifi, Iraj Mantegh:
An image-based trajectory planning approach for robust robot programming by demonstration. Robotics Auton. Syst. 98: 241-257 (2017) - 2012
- [j2]Aleksandar Vakanski, Iraj Mantegh, Andrew Irish, Farrokh Janabi-Sharifi:
Trajectory Learning for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping. IEEE Trans. Syst. Man Cybern. Part B 42(4): 1039-1052 (2012) - 2011
- [c4]Mahsa A. Golkar, Ahmadreza Momeni, Kaveh Moezzi, Amir G. Aghdam, Iraj Mantegh:
Convergence analysis and controller design for a team of mobile robots subject to measurement error. ACC 2011: 3350-3356 - 2010
- [j1]Iraj Mantegh, Michael R. M. Jenkin, Andrew A. Goldenberg:
Path Planning for Autonomous Mobile Robots Using the Boundary Integral Equation Method. J. Intell. Robotic Syst. 59(2): 191-220 (2010)
1990 – 1999
- 1997
- [c3]Iraj Mantegh, Michael R. M. Jenkin, Andrew A. Goldenberg:
Solving the find-path problem: a complete and less complex approach using the BIE methodology. CIRA 1997: 115-121 - [c2]Iraj Mantegh, Michael R. M. Jenkin, Andrew A. Goldenberg:
A probability-based approach to model-based path planning. IROS 1997: 1189-1195 - [c1]Iraj Mantegh, Michael R. M. Jenkin, Andrew A. Goldenberg:
Adaptive and less-complex path-planning behavior for mobile robots. Mobile Robots 1997: 95-106
Coauthor Index
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