SynWoodScape: Synthetic surround-view fisheye camera dataset for autonomous driving
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 vehicles primarily …
perception. It is one of the most commonly used sensors in commercial vehicles primarily …
X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation
Abstract Bird's-eye-view (BEV) grid is a common representation for the perception of road
components, eg, drivable area, in autonomous driving. Most existing approaches rely on …
components, eg, drivable area, in autonomous driving. Most existing approaches rely on …
A Deep Analysis of Visual SLAM Methods for Highly Automated and Autonomous Vehicles in Complex Urban Environment
K Wang, G Zhao, J Lu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
In the context of automated driving, navigating through challenging urban environments with
dynamic objects, large-scale scenes, and varying lighting/weather conditions, achieving …
dynamic objects, large-scale scenes, and varying lighting/weather conditions, achieving …
Adversarial attacks on multi-task visual perception for autonomous driving
Deep neural networks (DNNs) have accomplished impressive success in various
applications, including autonomous driving perception tasks, in recent years. On the other …
applications, including autonomous driving perception tasks, in recent years. On the other …
Limoseg: Real-time bird's eye view based lidar motion segmentation
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 …
pipeline. Detecting and isolating static and moving components of a vehicle's surroundings …
An online learning system for wireless charging alignment using surround-view fisheye cameras
Electric Vehicles are increasingly common, with inductive chargepads being considered a
convenient and efficient means of charging electric vehicles. However, drivers are typically …
convenient and efficient means of charging electric vehicles. However, drivers are typically …
A System for Dense Monocular Mapping with a Fisheye Camera
We introduce a novel dense mapping system that uses a single monocular fisheye camera
as the sole input sensor and incrementally builds a dense surfel representations of the …
as the sole input sensor and incrementally builds a dense surfel representations of the …
Woodscape Fisheye Object Detection for Autonomous Driving--CVPR 2022 OmniCV Workshop Challenge
Object detection is a comprehensively studied problem in autonomous driving. However, it
has been relatively less explored in the case of fisheye cameras. The strong radial distortion …
has been relatively less explored in the case of fisheye cameras. The strong radial distortion …
UnShadowNet: Illumination critic guided contrastive learning for shadow removal
Shadows are frequently encountered natural phenomena that significantly hinder the
performance of computer vision perception systems in practical settings, eg, autonomous …
performance of computer vision perception systems in practical settings, eg, autonomous …
WoodScape Motion Segmentation for Autonomous Driving--CVPR 2023 OmniCV Workshop Challenge
S Ramachandran, N Cibik, G Sistu… - arXiv preprint arXiv …, 2023 - arxiv.org
Motion segmentation is a complex yet indispensable task in autonomous driving. The
challenges introduced by the ego-motion of the cameras, radial distortion in fisheye lenses …
challenges introduced by the ego-motion of the cameras, radial distortion in fisheye lenses …