37 citations · 41 across the 13 of their papers we have counts for
13 papers
Automated Taxi Booking Operations for Autonomous Vehicles
Linh Van Ma, Shoaib Azam, Farzeen Munir +1
In a conventional taxi booking system, all taxi operations are mostly done by a decision made by drivers which is hard to implement in unmanned vehicles. To address this challenge,…
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving
Kalle Kujanpää, Daulet Baimukashev, Farzeen Munir +4
Learning to perform accurate and rich simulations of human driving behaviors from data for autonomous vehicle testing remains challenging due to human driving styles' high diversit…
Data-driven Diffusion Models for Enhancing Safety in Autonomous Vehicle Traffic Simulations
Jinxiong Lu, Shoaib Azam, Gokhan Alcan +1
Safety-critical traffic scenarios are integral to the development and validation of autonomous driving systems. These scenarios provide crucial insights into vehicle responses unde…
Challenges of Data-Driven Simulation of Diverse and Consistent Human Driving Behaviors
Kalle Kujanpää, Daulet Baimukashev, Shibei Zhu +4
Building simulation environments for developing and testing autonomous vehicles necessitates that the simulators accurately model the statistical realism of the real-world environm…
Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks
Farzeen Munir, Shoaib Azam, Tomasz Kucner +2
Object detection is a core component of perception systems, providing the ego vehicle with information about its surroundings to ensure safe route planning. While cameras and Lidar…
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
Shoaib Azam, Farzeen Munir, Ville Kyrki +2
Learning contextual and spatial environmental representations enhances autonomous vehicle's hazard anticipation and decision-making in complex scenarios. Recent perception systems…
Multi-Modal Fusion for Sensorimotor Coordination in Steering Angle Prediction
Farzeen Munir, Shoaib Azam, Byung-Geun Lee +1
Imitation learning is employed to learn sensorimotor coordination for steering angle prediction in an end-to-end fashion requires expert demonstrations. These expert demonstrations…
ARTSeg: Employing Attention for Thermal images Semantic Segmentation
Farzeen Munir, Shoaib Azam, Unse Fatima +1
The research advancements have made the neural network algorithms deployed in the autonomous vehicle to perceive the surrounding. The standard exteroceptive sensors that are utiliz…
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving
Farzeen Munir, Shoaib Azam, Moongu Jeon
The sensibility and sensitivity of the environment play a decisive role in the safe and secure operation of autonomous vehicles. This perception of the surrounding is way similar t…
Channel Boosting Feature Ensemble for Radar-based Object Detection
Shoaib Azam, Farzeen Munir, Moongu Jeon
Autonomous vehicles are conceived to provide safe and secure services by validating the safety standards as indicated by SOTIF-ISO/PAS-21448 (Safety of the intended functionality).…
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor
Farzeen Munir, Shoaib Azam, Moongu Jeon +2
Modern vehicles are equipped with various driver-assistance systems, including automatic lane keeping, which prevents unintended lane departures. Traditional lane detection methods…
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving
Farzeen Munir, Shoaib Azam, Muhammd Aasim Rafique +3
Underexposure regions are vital to construct a complete perception of the surroundings for safe autonomous driving. The availability of thermal cameras has provided an essential al…
N 2 C : Neural Network Controller Design Using Behavioral Cloning
Shoaib Azam, Farzeen Munir, Muhammad Aasim Rafique +3
Modern vehicles communicate data to and from sensors, actuators, and electronic control units (ECUs) using Controller Area Network (CAN) bus, which operates on differential signali…