852 citations · 1.5k across the 82 of their papers we have counts for
18 papers · 1 filter
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
Sambit Mohapatra, Mona Hodaei, Senthil Yogamani +5
Moving object detection and segmentation is an essential task in the Autonomous Driving pipeline. Detecting and isolating static and moving components of a vehicle's surroundings a…
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving
Louis Gallagher, Varun Ravi Kumar, Senthil Yogamani +1
In this paper, we present a system for incrementally reconstructing a dense 3D model of the geometry of an outdoor environment using a single monocular camera attached to a moving…
Woodscape Fisheye Semantic Segmentation for Autonomous Driving -- CVPR 2021 OmniCV Workshop Challenge
Saravanabalagi Ramachandran, Ganesh Sistu, John McDonald +1
We present the WoodScape fisheye semantic segmentation challenge for autonomous driving which was held as part of the CVPR 2021 Workshop on Omnidirectional Computer Vision (OmniCV)…
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving
Hazem Rashed, Mariam Essam, Maha Mohamed +2
Detection of moving objects is a very important task in autonomous driving systems. After the perception phase, motion planning is typically performed in Bird's Eye View (BEV) spac…
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving
Ibrahim Sobh, Ahmed Hamed, Varun Ravi Kumar +1
Deep neural networks (DNNs) have accomplished impressive success in various applications, including autonomous driving perception tasks, in recent years. On the other hand, current…
An Online Learning System for Wireless Charging Alignment using Surround-view Fisheye Cameras
Ashok Dahal, Varun Ravi Kumar, Senthil Yogamani +1
Electric Vehicles are increasingly common, with inductive chargepads being considered a convenient and efficient means of charging electric vehicles. However, drivers are typically…
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
Kinjal Dasgupta, Arindam Das, Sudip Das +2
Pedestrian Detection is the most critical module of an Autonomous Driving system. Although a camera is commonly used for this purpose, its quality degrades severely in low-light ni…
Ensemble-based Semi-supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving
Michal Uricar, Ganesh Sistu, Lucie Yahiaoui +1
Manual annotation of soiling on surround view cameras is a very challenging and expensive task. The unclear boundary for various soiling categories like water drops or mud particle…
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances
Jonathan Horgan, Ciarán Hughes, John McDonald +1
Vision-based driver assistance systems is one of the rapidly growing research areas of ITS, due to various factors such as the increased level of safety requirements in automotive,…
Computer vision in automated parking systems: Design, implementation and challenges
Markus Heimberger, Jonathan Horgan, Ciaran Hughes +2
Automated driving is an active area of research in both industry and academia. Automated Parking, which is automated driving in a restricted scenario of parking with low speed mano…
Exploring 2D Data Augmentation for 3D Monocular Object Detection
Sugirtha T, Sridevi M, Khailash Santhakumar +3
Data augmentation is a key component of CNN based image recognition tasks like object detection. However, it is relatively less explored for 3D object detection. Many standard 2D o…
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani +4
A 360° perception of scene geometry is essential for automated driving, notably for parking and urban driving scenarios. Typically, it is achieved using surround-view fisheye camer…
Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning
Mahesh M Dhananjaya, Varun Ravi Kumar, Senthil Yogamani
Autonomous driving is rapidly advancing, and Level 2 functions are becoming a standard feature. One of the foremost outstanding hurdles is to obtain robust visual perception in har…
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving
Hazem Rashed, Ahmad El Sallab, Senthil Yogamani
Moving object Detection (MOD) is a critical task in autonomous driving as moving agents around the ego-vehicle need to be accurately detected for safe trajectory planning. It also…
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving
Sambit Mohapatra, Senthil Yogamani, Heinrich Gotzig +2
3D object detection based on LiDAR point clouds is a crucial module in autonomous driving particularly for long range sensing. Most of the research is focused on achieving higher a…
Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Cameras
Ciaran Eising, Jonathan Horgan, Senthil Yogamani
Cameras are the primary sensor in automated driving systems. They provide high information density and are optimal for detecting road infrastructure cues laid out for human vision.…
FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images
Anna Konrad, Ciarán Eising, Ganesh Sistu +3
Keypoint detection and description is a commonly used building block in computer vision systems particularly for robotics and autonomous driving. However, the majority of technique…
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving
Varun Ravi Kumar, Senthil Yogamani, Hazem Rashed +5
Surround View fisheye cameras are commonly deployed in automated driving for 360° near-field sensing around the vehicle. This work presents a multi-task visual perception network o…