18 citations · 30 across the 5 of their papers we have counts for
5 papers
SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging Environments
Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam +4
The fusion of LiDAR and camera sensors has demonstrated significant effectiveness in achieving accurate detection for short-range tasks in autonomous driving. However, this fusion…
AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer
Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam +3
Combining LiDAR and camera data has shown potential in enhancing short-distance object detection in autonomous driving systems. Yet, the fusion encounters difficulties with extende…
Left-right Discrepancy for Adversarial Attack on Stereo Networks
Pengfei Wang, Xiaofei Hui, Beijia Lu +3
Stereo matching neural networks often involve a Siamese structure to extract intermediate features from left and right images. The similarity between these intermediate left-right…
Model Generalization in Arrival Runway Occupancy Time Prediction by Feature Equivalences
An-Dan Nguyen, Duc-Thinh Pham, Nimrod Lilith +1
General real-time runway occupancy time prediction modelling for multiple airports is a current research gap. An attempt to generalize a real-time prediction model for Arrival Runw…
Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance
Phat Thai, Sameer Alam, Nimrod Lilith +2
An airport runway and taxiway (airside) area is a highly dynamic and complex environment featuring interactions between different types of vehicles (speed and dimension), under var…