Our paper on vehicles adaptability of two major imitation learning pipelines for autonomous driving agents has been presented at the IEEE Intelligent Vehicles Symposium (IEEE IV) 2024 held at the Jeju Shinhwa World Landing Convention Centre, 2-5 June. The paper was presented in the poster session. IEEE IV 2024 showcased a diverse array of 511 […]
Syamimi’s paper presented at IEEE IV 2024 Read More »
Hafiq’s paper on “Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots” has been accepted to the 21st International Conference on Ubiquitous Robots (UR 2024) to be held at the Kimmel Center for University Life in NYU, Manhattan, New York, USA, from June 24 to 27, 2024. This
Hafiq’s paper on social navigation accepted in UR 2024 Read More »
Syamimi’s paper on “A Comparison of Imitation Learning Pipelines for Autonomous Driving on the Effect of Change in Ego-vehicle” has been accepted to the 35th IEEE Intelligent Vehicles Symposium (IV) 2024. The conference will be held on 2-5 June in Jeju, South Korea. The IEEE IV Symposium is a premier conference in intelligent vehicles and
Syamimi’s paper accepted in the IEEE IV 2024 Read More »
Hafiq presented his initial work in his MSc at the 9th International Conference on Robot Intelligence Technology and Applications (RiTA 2021). The conference is a hybrid one with on-site and virtual participation. We attended the conference virtually. Hafiq’s paper is “Comparison of Deep Q-Learning, Q-Learning and SARSA Reinforced Learning for Robot Local Navigation”. Abstract. This
Hafiq presented his paper at RiTA 2021 Read More »
Congratulations to Amran! His paper “Investigation of the Unsupervised Machine Learning Techniques for Human Activity Discovery” received the Gold Award in General Electronic Category at the second International Conference on Electronics, Biomedical Engineering and Health Informatics (ICEBEHI) 2021. Amran presented the paper virtually held on 3-4 November 2021. Abstract. Human activity recognition has been considered
Amran’s paper received Best Paper Award at ICEBEHI 2021 Read More »
Bacha‘s paper on “Face detection and tracking using hybrid margin-based ROI techniques” has been published in Springer’s journal Visual Computing. Congratulations to Bacha! This study is to solve the problem of low accuracy and slow processing speed for real-time face detection and tracking systems. A margin-based region of interest approach with fixed and dynamic margin
Mateen‘s paper on “Implementation and Evaluation of IoT System Using Cloud Storage Platform” has been accepted in the 2nd International Conference on Big Data and Internet of Things (BDIOT 2018). Abstract. As the internet has become more accessible, the use of Internet of Things (IoT) systems is increasing. An IoT system can be accessed either
Mateen’s paper presented in BDIOT 2018 at Beijing Read More »
Bacha‘s paper on “Using Margin-based Region of Interest Technique with Multi-Task Convolutional Neural Network and Template Matching for Robust Face Detection and Tracking System ” has been accepted in the 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC 2018). The paper was presented at the conference in KL. The presentation received the Best
Bacha’s paper presented in ICISPC 2018 at Kuala Lumpur Read More »
Bacha‘s paper on “Hybrid Model with Margin-Based Real-Time Face Detection and Tracking” has been accepted in the 11th Multi-disciplinary International Workshop on Artificial Intelligence (MIWAI 2017). Abstract. Face detection and tracking algorithms mainly suffer from low accuracy, slow processing speed, and poor robustness when meet with real-time setup. The problem becomes crucial in real-time situations
Bacha presented his poster in MIWAI 2017 Read More »