Akshay Bharadwaj

Akshay Bharadwaj

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publications

Implementation of an Ethernet Bridge Using Avalon Memory-Mapped Interface

Published in Emerging Research in Electronics, Computer Science and Technology: Proceedings of International Conference, ICERECT 2012, 2013

Implementation of an Ethernet bridge using the Avalon memory-mapped interface.

Recommended citation: Bharadwaj, A. S. & Mankkadan, D. (2013). "Implementation of an Ethernet Bridge Using Avalon Memory-Mapped Interface." Emerging Research in Electronics, Computer Science and Technology: Proceedings of International Conference, ICERECT 2012. Springer India, New Delhi. pp. 407-412.

Detection of Microcalcification with Top-Hat Transform and the Gibbs Random Fields

Published in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015

A novel CAD method combining fuzzy C-means clustering, top-hat transform, watershed segmentation, and Gibbs random fields to detect microcalcifications in digital mammograms, achieving a 94.4% detection rate.

Recommended citation: Bharadwaj, A. S. & Celenk, M. (2015). "Detection of Microcalcification with Top-Hat Transform and the Gibbs Random Fields." 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Milan, Italy. p. 6382.
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A Real-time Relative Navigation Capability for Multi-copter Collision Avoidance

Published in Proceedings of the 2016 International Technical Meeting of The Institute of Navigation, 2016

Multi-copter platforms equipped with GNSS, inertial sensors, and communication links implementing relative navigation and collision avoidance algorithms on embedded ROS processors.

Recommended citation: Kastelein, M., Gilabert, R., Schultz, A., Bharadwaj, A., Shiflett, K., & Uijt de Haag, M. (2016). "A Real-time Relative Navigation Capability for Multi-copter Collision Avoidance." Proceedings of the 2016 International Technical Meeting of The Institute of Navigation. pp. 657-663.
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A Navigation and Mapping Method for UAS during Under-the-Canopy Forest Operations

Published in 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2016

A simultaneous navigation and mapping (SNAM) method for multi-copter UAS operating in GNSS-degraded forest environments, using tightly-coupled GNSS/IMU and multi-scanner ICP-based mapping.

Recommended citation: Schultz, A., Gilabert, R., Bharadwaj, A., Uijt de Haag, M., & Zhu, Z. (2016). "A Navigation and Mapping Method for UAS during Under-the-Canopy Forest Operations." 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS). Savannah, GA. pp. 739-746. doi:10.1109/PLANS.2016.7479768
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Small-UAS Navigation using 3D Imager and Infrared Camera in Structured Environments

Published in 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2016

A GNSS-denied navigation and thermal mapping method integrating depth imagery from a 3D TOF imager and LWIR camera with an IMU for autonomous small-UAS operation in maintenance tunnels.

Recommended citation: Bharadwaj, A., Schultz, A., Gilabert, R., Huff, J., & Uijt de Haag, M. (2016). "Small-UAS Navigation using 3D Imager and Infrared Camera in Structured Environments." 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS). Savannah, GA. pp. 599-606. doi:10.1109/PLANS.2016.7479751
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Keynote: Navigating Small-UAS in Tunnels for Maintenance and Surveillance Operations

Published in Proceedings of the ION 2017 Pacific PNT Meeting, 2017

Keynote paper on autonomous small-UAS navigation in tunnel environments for maintenance and surveillance operations.

Recommended citation: Bharadwaj, A. S. & Uijt de Haag, M. (2017). "Keynote: Navigating Small-UAS in Tunnels for Maintenance and Surveillance Operations." Proceedings of the ION 2017 Pacific PNT Meeting. pp. 1065-1076.

Methods and Apparatuses for Detection of Abnormalities in Low-Contrast Images

Published in US Patent Application Publication (US20180053297A1), Ohio University, 2018

US Patent Application (US20180053297A1) for a computer-implemented method detecting abnormalities in low-contrast medical images using image segmentation, Gibbs random field clique analysis, and network-based delivery.

Recommended citation: Celenk, M. & Bharadwaj, A. S. (2018). "Methods and Apparatuses for Detection of Abnormalities in Low-Contrast Images." US Patent Application Publication No. US 2018/0053297 A1. Filed Aug. 11, 2017.
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APC2Mesh: Bridging the gap from occluded building façades to full 3D models

Published in ISPRS Journal of Photogrammetry and Remote Sensing, 2024

A method integrating point completion into a 3D mesh reconstruction pipeline to generate high-fidelity digital twin models of urban buildings from occluded airborne LiDAR point clouds.

Recommended citation: Akwensi, P. H., Bharadwaj, A., & Wang, R. (2024). "APC2Mesh: Bridging the gap from occluded building façades to full 3D models." ISPRS Journal of Photogrammetry and Remote Sensing.
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Points2Model: A Neural-Guided 3D Building Wireframe Reconstruction from Airborne LiDAR Point Clouds

Published in International Journal of Digital Earth, 2025

A neural-guided pipeline for reconstructing 3D building wireframe models from airborne LiDAR point clouds, addressing façade/roof occlusions, point density variations, and noise.

Recommended citation: Akwensi, P. H., Bharadwaj, A., & Wang, R. (2025). "Points2Model: A Neural-Guided 3D Building Wireframe Reconstruction from Airborne LiDAR Point Clouds." International Journal of Digital Earth. 18(1), 2458682.
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Cost-Effective Mapping Platform to Generate HD-Maps for Autonomous Vehicles and Digital Twins

Published in University of Calgary, Schulich School of Engineering, 2026

Ph.D. dissertation on a cost-effective mobile mapping system for HD-map generation, covering photogrammetric camera calibration, learning-based LiDAR–camera calibration, and neural implicit LiDAR–inertial odometry.

Recommended citation: Bharadwaj, A. S. (2026). "Cost-Effective Mapping Platform to Generate HD-Maps for Autonomous Vehicles and Digital Twins." Ph.D. Dissertation, University of Calgary. doi:10.11575/PRISM/51522
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Beyond Checkerboards: Advantages of Photogrammetric Camera Calibration for Robust 3D Vision and Novel-View Generation

Published in Remote Sensing, 2026

Revisits intrinsic camera calibration through photogrammetric self-calibration (PSC), showing it consistently outperforms checkerboard calibration for SfM, visual SLAM, and novel-view synthesis.

Recommended citation: Bharadwaj, A. & Lichti, D. D. (2026). "Beyond Checkerboards: Advantages of Photogrammetric Camera Calibration for Robust 3D Vision and Novel-View Generation." Remote Sensing. 18(13), 2220.
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research

Detection of Abnormalities in Medical Images

Early breast cancer detection: A multi-stage CAD pipeline using top-hat transform, Gibbs random fields, and fuzzy clustering to detect microcalcifications in mammograms (94.4% detection rate). US Patent filed.

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