Search Results - "Yogamani, Senthil"

Deep Reinforcement Learning for Autonomous Driving: A Survey by Kiran, B Ravi, Sobh, Ibrahim, Talpaert, Victor, Mannion, Patrick, Sallab, Ahmad A. Al, Yogamani, Senthil, Perez, Patrick

“…With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of…”
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Surround-View Fisheye Camera Perception for Automated Driving: Overview, Survey & Challenges by Kumar, Varun Ravi, Eising, Ciaran, Witt, Christian, Yogamani, Senthil

“…Surround-view fisheye cameras are commonly used for near-field sensing in automated driving. Four fisheye cameras on four sides of the vehicle are sufficient…”
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UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal by Dasgupta, Subhrajyoti, Das, Arindam, Das, Sudip, Eising, Ciaran, Bursuc, Andrei, Bhattacharya, Ujjwal, Yogamani, Senthil

“…Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings,…”
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Overview and Empirical Analysis of ISP Parameter Tuning for Visual Perception in Autonomous Driving by Yahiaoui, Lucie, Horgan, Jonathan, Deegan, Brian, Yogamani, Senthil, Hughes, Ciarán, Denny, Patrick

“…Image quality is a well understood concept for human viewing applications, particularly in the multimedia space, but increasingly in an automotive context as…”
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RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving by El Madawi, Khaled, Rashed, Hazem, El Sallab, Ahmad, Nasr, Omar, Kamel, Hanan, Yogamani, Senthil

“…LiDAR has become a standard sensor for autonomous driving applications as they provide highly precise 3D point clouds. LiDAR is also robust for low-light…”
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Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning by Milz, Stefan, Arbeiter, Georg, Witt, Christian, Abdallah, Bassam, Yogamani, Senthil

“…Deep learning has become the standard model for object detection and recognition. Recently, there is progress on using CNN models for geometric vision tasks…”
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A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving by Siam, Mennatullah, Gamal, Mostafa, Abdel-Razek, Moemen, Yogamani, Senthil, Jagersand, Martin, Zhang, Hong

“…Semantic segmentation is a critical module in robotics related applications, especially autonomous driving. Most of the research on semantic segmentation is…”
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Near-Field Perception for Low-Speed Vehicle Automation Using Surround-View Fisheye Cameras by Eising, Ciaran, Horgan, Jonathan, Yogamani, Senthil

“…Cameras are the primary sensor in automated driving systems. They provide high information density and are optimal for detecting road infrastructure cues laid…”
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Spatio-Contextual Deep Network-Based Multimodal Pedestrian Detection for Autonomous Driving by Dasgupta, Kinjal, Das, Arindam, Das, Sudip, Bhattacharya, Ujjwal, Yogamani, Senthil

“…Pedestrian Detection is the most critical module of an Autonomous Driving system. Although a camera is commonly used for this purpose, its quality degrades…”
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MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving by Siam, Mennatullah, Mahgoub, Heba, Zahran, Mohamed, Yogamani, Senthil, Jagersand, Martin, El-Sallab, Ahmad

“…For autonomous driving, moving objects like vehicles and pedestrians are of critical importance as they primarily influence the maneuvering and braking of the…”
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Computer vision in automated parking systems: Design, implementation and challenges by Heimberger, Markus, Horgan, Jonathan, Hughes, Ciarán, McDonald, John, Yogamani, Senthil

“…Automated driving is an active area of research in both industry and academia. Automated parking, which is automated driving in a restricted scenario of…”
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An Online Learning System for Wireless Charging Alignment Using Surround-View Fisheye Cameras by Dahal, Ashok, Kumar, Varun Ravi, Yogamani, Senthil, Eising, Ciaran

“…Electric Vehicles are increasingly common, with inductive chargepads being considered a convenient and efficient means of charging electric vehicles. However,…”
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Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline by Rashed, Hazem, Mohamed, Eslam, Sistu, Ganesh, Kumar, Varun Ravi, Eising, Ciaran, El-Sallab, Ahmad, Yogamani, Senthil

“…Object detection is a comprehensively studied problem in autonomous driving. However, it has been relatively less explored in the case of fisheye cameras. The…”
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RTSeg: Real-Time Semantic Segmentation Comparative Study by Siam, Mennatullah, Gamal, Mostafa, Abdel-Razek, Moemen, Yogamani, Senthil, Jagersand, Martin

“…Semantic segmentation benefits robotics related applications, especially autonomous driving. Most of the research on semantic segmentation only focuses on…”
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SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras by Ravi Kumar, Varun, Klingner, Marvin, Yogamani, Senthil, Bach, Markus, Milz, Stefan, Fingscheidt, Tim, Mader, Patrick

“…A 360° perception of scene geometry is essential for automated driving, notably for parking and urban driving scenarios. Typically, it is achieved using…”
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WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving by Yogamani, Senthil, Hughes, Ciaran, Horgan, Jonathan, Sistu, Ganesh, Chennupati, Sumanth, Uricar, Michal, Milz, Stefan, Simon, Martin, Amende, Karl, Witt, Christian, Rashed, Hazem, Nayak, Sanjaya, Mansoor, Saquib, Varley, Padraig, Perrotton, Xavier, Odea, Derek, Perez, Patrick

“…Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In…”
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SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving by Sekkat, Ahmed Rida, Dupuis, Yohan, Kumar, Varun Ravi, Rashed, Hazem, Yogamani, Senthil, Vasseur, Pascal, Honeine, Paul

“…Surround-view cameras are a primary sensor for automated driving, used for near-field perception. It is one of the most commonly used sensors in commercial…”
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SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving by Kumar, Varun Ravi, Klingner, Marvin, Yogamani, Senthil, Milz, Stefan, Fingscheidt, Tim, Mader, Patrick

“…State-of-the-art self-supervised learning approaches for monocular depth estimation usually suffer from scale ambiguity. They do not generalize well when…”
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UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models by Kumar, Varun Ravi, Yogamani, Senthil, Bach, Markus, Witt, Christian, Milz, Stefan, Mader, Patrick

“…In classical computer vision, rectification is an integral part of multi-view depth estimation. It typically includes epipolar rectification and lens…”
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X-Align++: cross-modal cross-view alignment for Bird’s-eye-view segmentation by Borse, Shubhankar, Klingner, Marvin, Ravi, Varun, Cai, Hong, Almuzairee, Abdulaziz, Yogamani, Senthil, Porikli, Fatih

“…Bird’s-eye-view (BEV) grid is a typical representation of the perception of road components, e.g., drivable area, in autonomous driving. Most existing…”
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