no code implementations • 30 Oct 2023 • Farzeen Munir, Shoaib Azam, Tomasz Kucner, Ville Kyrki, Moongu Jeon
This underscores the value of radar-Lidar fusion in achieving precise object detection and localization, especially in challenging weather conditions.
no code implementations • 13 Oct 2022 • Shoaib Azam, Farzeen Munir, Ville Kyrki, Moongu Jeon, Witold Pedrycz
Recent perception systems enhance spatial understanding with sensor fusion but often lack full environmental context.
1 code implementation • 11 Feb 2022 • Farzeen Munir, Shoaib Azam, Byung-Geun Lee, Moongu Jeon
The conventional frame-based RGB camera is the most common exteroceptive sensor modality used to acquire the environmental perception data.
no code implementations • 30 Nov 2021 • Farzeen Munir, Shoaib Azam, Unse Fatima, Moongu Jeon
Therefore, the neural network algorithms developed using these exteroceptive sensors have provided the necessary solution for the autonomous vehicle's perception.
no code implementations • 4 Mar 2021 • Farzeen Munir, Shoaib Azam, Moongu Jeon
For this purpose, we have proposed a deep neural network Self Supervised Thermal Network (SSTN) for learning the feature embedding to maximize the information between visible and infrared spectrum domain by contrastive learning, and later employing these learned feature representation for the thermal object detection using multi-scale encoder-decoder transformer network.
no code implementations • 10 Jan 2021 • Shoaib Azam, Farzeen Munir, Moongu Jeon
The proposed method's efficacy is extensively evaluated using the COCO evaluation metric, and the best-proposed model surpasses its state-of-the-art counterpart method by $12. 55\%$ and $12. 48\%$ in both good and good-bad weather conditions.
1 code implementation • 17 Sep 2020 • Farzeen Munir, Shoaib Azam, Moongu Jeon, Byung-Geun Lee, Witold Pedrycz
Traditional lane detection methods incorporate handcrafted or deep learning-based features followed by postprocessing techniques for lane extraction using frame-based RGB cameras.
Ranked #1 on Lane Detection on DET
no code implementations • 1 Jun 2020 • Farzeen Munir, Shoaib Azam, Muhammd Aasim Rafique, Ahmad Muqeem Sheri, Moongu Jeon, Witold Pedrycz
A thermal camera captures an image using the heat difference emitted by objects in the infrared spectrum, and object detection in thermal images becomes effective for autonomous driving in challenging conditions.
no code implementations • 1 Jun 2020 • Shoaib Azam, Farzeen Munir, Muhammad Aasim Rafique, Ahmad Muqeem Sheri, Muhammad Ishfaq Hussain, Moongu Jeon
In the first part of this study, we explore the pipeline of parsing decision commands from the path tracking algorithm to the controller and proposed a neural network-based controller ($N^2C$) using behavioral cloning.
10 code implementations • 16 Feb 2020 • Yeongmin Ko, Younkwan Lee, Shoaib Azam, Farzeen Munir, Moongu Jeon, Witold Pedrycz
In the case of traffic line detection, an essential perception module, many condition should be considered, such as number of traffic lines and computing power of the target system.
Ranked #40 on Lane Detection on CULane