Farzeen Munir, PhD

Farzeen Munir, PhD

Postdoctoral researcher at Aalto University & Finnish Center of Artifical Intelligence

Aalto University

Biography

I am a postdoctoral researcher at the Mobile Robotics Lab, Aalto University under the mentorship of Professor Tomasz Kuncer . My research is centred around the development of socially-aware autonomous vehicles. The primary objective is to create vehicles that can accurately predict the intentions of pedestrians while simultaneously communicating their own intentions effectively to pedestrians. The significance of this research lies in its potential to enhance the safety and efficiency of autonomous vehicles in urban environments. By understanding and anticipating the actions of pedestrians, autonomous vehicles can proactively adjust their driving behaviour to avoid accidents and ensure smoother interactions with pedestrians.

Previously I finished my PhD at Gwangju Institute of Science and Technology, South Korea and worked on developing data-driven methods for autonomous vehicle perception using unconventional sensors, for instance, event and thermal cameras.

Interests
  • Deep Learning
  • Visual Perception
  • Representation Learning
  • Autonomous Driving
Education

  • PhD in Electrical Engineering and Computer Science, 2022

    Gwangju Institute of Science and Technology (GIST)

  • MS in System Engineering, 2015

    Pakistan Institute of Engineering and Applied Sciences (PIEAS)

  • BS in Electrical Engineering, 2013

    Pakistan Institute of Engineering and Applied Sciences (PIEAS)

Projects

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All Deep Learning Other
BeetleBot
The recent development in the field of mobile robotics has made them available for commercial and research purposes. The primary challenges that are encountered by deploying the mobile robot in a dynamic environment is mapping and navigation.
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BeetleBot
Car.MLV.ai~Autonomous Vehicle
In this study, we have developed an autonomous vehicle using limited sensor suite as compared to autonomous vehicles discussed previously. Figure illustrates our test-bed called Car.Mlv.ai. The efficacy of our autonomous vehicle is experimentally verified by deploying it as an automated taxi service in the constrained environment.
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Car.MLV.ai~Autonomous Vehicle

Featured Publications

Farzeen Munir, PhD, Shoaib Azam, Muhammd Aasim Rafique, Ahmad Muqeem Sheri, Moongu Jeon, Witold Pedrycz
January, 2022 Applied Soft Computing
Exploring thermal images for object detection in underexposure regions for autonomous driving
Exploring thermal images for object detection in underexposure regions for autonomous driving

This work proposes a domain adaptation framework that employs a style transfer technique for transfer learning from visible spectrum images to thermal images. The framework uses a generative adversarial network (GAN) to transfer the low- level features from the visible spectrum domain to the thermal domain through style consistency.
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Farzeen Munir, PhD, Shoaib Azam, Moongu Jeon, Byung-Geun Lee, Witold Pedrycz
January, 2021 IEEE Transactions on Intelligent Transportation Systems
LDNet: end-to-end lane marking detection approach using a dynamic vision sensor
LDNet: end-to-end lane marking detection approach using a dynamic vision sensor

This paper explores the novel application of lane marking detection using an event camera by designing a convolutional encoder followed by the attention-guided decoder. The spatial resolution of the encoded features is retained by a dense atrous spatial pyramid pooling (ASPP) block. The additive attention mechanism in the decoder improves performance for high dimensional input encoded features that promote lane localization and relieve postprocessing computation.
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Publications

Journal Publications

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Farzeen Munir, PhD, Shoaib Azam, Kin-Choong Yow, Byung-Geun Lee, Moongu Jeon (2023). Multimodal fusion for sensorimotor control in steering angle prediction. Elsevier.

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Amnah Nasim, David C Nchekwube, Farzeen Munir, PhD, Yoon Sang Kim (2022). An Evolutionary-Neural Mechanism for Arrhythmia Classification with Optimum Features using Single-Lead Electrocardiogram. IEEE Access.

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Farzeen Munir, PhD, Shoaib Azam, Muhammd Aasim Rafique, Ahmad Muqeem Sheri, Moongu Jeon, Witold Pedrycz (2022). Exploring thermal images for object detection in underexposure regions for autonomous driving. Applied Soft Computing.

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Shoaib Azam, Farzeen Munir, PhD, Moongu Jeon (2022). Learning Driving Policies for End-to-End Autonomous Driving. arXiv preprint arXiv:2210.06758.

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YeongMin Ko, Younkwan Lee, Shoaib Azam, Farzeen Munir, PhD, Moongu Jeon, Witold Pedrycz (2021). Key points estimation and point instance segmentation approach for lane detection. IEEE Transactions on Intelligent Transportation Systems.

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Farzeen Munir, PhD, Shoaib Azam, Moongu Jeon, Byung-Geun Lee, Witold Pedrycz (2021). LDNet: end-to-end lane marking detection approach using a dynamic vision sensor. IEEE Transactions on Intelligent Transportation Systems.

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Shoaib Azam, Farzeen Munir, PhD, Muhammad Aasim Rafique, Ahmad Muqeem Sheri, Muhammad Ishfaq Hussain, Moongu Jeon (2021). N 2 C: neural network controller design using behavioral cloning. IEEE Transactions on Intelligent Transportation Systems.

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Shoaib Azam, Farzeen Munir, PhD, Ahmad Muqeem Sheri, Joonmo Kim, Moongu Jeon (2020). System, design and experimental validation of autonomous vehicle in an unconstrained environment. Sensors.

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Vinh Quang Dinh, Farzeen Munir, PhD, Shoaib Azam, Kin-Choong Yow, Moongu Jeon (2020). Transfer learning for vehicle detection using two cameras with different focal lengths. Information Sciences.

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Vinh Quang Dinh, Farzeen Munir, PhD, Ahmad Muqeem Sheri, Moongu Jeon (2019). Disparity estimation using stereo images with different focal lengths. IEEE Transactions on Intelligent Transportation Systems.

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Farzeen Munir, PhD, Sadaf Gul, Amina Asif, others (2019). MILAMP: multiple instance prediction of amyloid proteins. IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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Amina Asif, Wajid Arshad Abbasi, Farzeen Munir, PhD, Asa Ben-Hur, others (2017). pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications. arXiv preprint arXiv:1711.04913.

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Publications

Conference Publications

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Farzeen Munir, PhD, Tsvetomila Mihaylova, Shoaib Azam, Tomasz Piotr Kucner, Ville Kyrki (2024). Exploring Large Language Models for Trajectory Prediction: A Technical Perspective. 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion).

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Farzeen Munir, PhD, Shoaib Azam, Tomasz Kucner, Ville Kyrki, Moongu Jeon (2023). Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks. 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023.

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Farzeen Munir, PhD, Shoaib Azam, Unse Fatima, Moongu Jeon (2022). ARTSeg: Employing Attention for Thermal Images Semantic Segmentation. Asian Conference on Pattern Recognition.

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Shoaib Azam, Farzeen Munir, PhD, Moongu Jeon (2021). Channel boosting feature ensemble for radar-based object detection. 2021 IEEE Intelligent Vehicles Symposium (IV).

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Shoaib Azam, Farzeen Munir, PhD, Unse Fatima, Moongu Jeon (2021). EMGNet: Driver’s Intent Prediction using Neurosignals. 제어로봇시스템학회 국내학술대회 논문집.

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Zafran Khan, Ishfaq Hussain, Farzeen Munir, PhD, Unse Fatima, Shoaib Azam, Moongu Jeon (2021). Modified RC Car for uni-modal Autonomous Parking. 한국정보과학회 학술발표논문집.

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Farzeen Munir, PhD, Shoaib Azam, Moongu Jeon (2021). SSTN: Self-supervised domain adaptation thermal object detection for autonomous driving. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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Shoaib Azam, Farzeen Munir, PhD, Moongu Jeon (2020). Dynamic Control System Design for Autonomous Car.. VEHITS.

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Muhamamd Ishfaq Hussain, Shoaib Azam, Farzeen Munir, PhD, Zafran Khan, Moongu Jeon (2020). Multiple objects tracking using radar for autonomous driving. 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).

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Farzeen Munir, PhD, Shoaib Azam, Seongmin Hwang, Jihoon Jeong, Moongu Jeon (2020). Semantic Mapping and Autonomous Navigation using TurtleBot. 한국정보과학회 학술발표논문집.

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Farzeen Munir, PhD, Shoaib Azam, Moongu Jeon (2020). Visuomotor Steering angle Prediction in Dynamic Perception Environment for Autonomous Vehicle. 2020 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia).

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Linh Van Ma, Shoaib Azam, Farzeen Munir, PhD, Moongu Jeon, Jinho Choi (2019). Automated Taxi Booking Operations for Autonomous Vehicles. 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS).

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Shoaib Azam, Farzeen Munir, PhD, Ahmad Muqeem Sheri, YeongMin Ko, Ishfaq Hussain, Moongu Jeon (2019). Data fusion of lidar and thermal camera for autonomous driving. Applied Industrial Optics: Spectroscopy, Imaging and Metrology.

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Farzeen Munir, PhD, Shoaib Azam, Ko Yeongmin, Jihyo Jeon, Moongu Jeon (2019). Motion Prediction and Obstacle Avoidance for Self-driving Car. 한국정보과학회 학술발표논문집.

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Farzeen Munir, PhD, Shoaib Azam, Ahmad Muqeem Sheri, YeongMin Ko, Moongu Jeon (2019). Where Am I: Localization and 3D Maps for Autonomous Vehicles.. VEHITS.

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Farzeen Munir, PhD, Shoaib Azam, Muhammad Ishfaq Hussain, Ahmed Muqeem Sheri, Moongu Jeon (2018). Autonomous vehicle: The architecture aspect of self driving car. Proceedings of the 2018 International Conference on Sensors, Signal and Image Processing.

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Shoaib Azam, Farzeen Munir, PhD, Aasim Rafique, YeongMin Ko, Ahmad Muqeem Sheri, Moongu Jeon (2018). Object modeling from 3d point cloud data for self-driving vehicles. 2018 IEEE Intelligent Vehicles Symposium (IV).

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Farzeen Munir, PhD, Fayyaz ul Amir Asfar Minhas, Abdul Jalil, Moongu Jeon (2017). Real time eye tracking using Kalman extended spatio-temporal context learning.

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Farzeen Munir, PhD, Shoaib Azam, Aasim Rafique, Moongu Jeon (2017). Automated Labelling of 3D Point Cloud Data. 한국정보과학회 학술발표논문집.

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Thesis

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Farzeen Munir, PhD (2022). Dynamic visual perception for Autonomous vehicles.

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Farzeen Munir, PhD (2015). Spatio-Temporal Visual Object Tracking.

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Farzeen Munir, PhD (2013). Implementation of a Motor Controller for Humanoid Arm.

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