Surround-view fisheye camera perception for automated driving: Overview, survey & challenges
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 to cover 360° around …
driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around …
Benchmarking the robustness of lidar-camera fusion for 3d object detection
To achieve autonomous driving, developing 3D detection fusion methods, which aim to fuse
the camera and LiDAR information, has draw great research interest in recent years. As a …
the camera and LiDAR information, has draw great research interest in recent years. As a …
Syndistnet: Self-supervised monocular fisheye camera distance estimation synergized with semantic segmentation for autonomous driving
State-of-the-art self-supervised learning approaches for monocular depth estimation usually
suffer from scale ambiguity. They do not generalize well when applied on distance …
suffer from scale ambiguity. They do not generalize well when applied on distance …
Weather and light level classification for autonomous driving: Dataset, baseline and active learning
MM Dhananjaya, VR Kumar… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
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 …
feature. One of the foremost outstanding hurdles is to obtain robust visual perception in …
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 …
Multi-weather city: Adverse weather stacking for autonomous driving
Autonomous vehicles make use of sensors to perceive the world around them, with heavy
reliance on vision-based sensors such as RGB cameras. Unfortunately, since these sensors …
reliance on vision-based sensors such as RGB cameras. Unfortunately, since these sensors …
Fisheyedistancenet: Self-supervised scale-aware distance estimation using monocular fisheye camera for autonomous driving
Fisheye cameras are commonly used in applications like autonomous driving and
surveillance to provide a large field of view (> 180 o). However, they come at the cost of …
surveillance to provide a large field of view (> 180 o). However, they come at the cost of …
Near-field perception for low-speed vehicle automation using surround-view fisheye cameras
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 …
information density and are optimal for detecting road infrastructure cues laid out for human …
Let's get dirty: Gan based data augmentation for camera lens soiling detection in autonomous driving
Wide-angle fisheye cameras are commonly used in automated driving for parking and low-
speed navigation tasks. Four of such cameras form a surround-view system that provides a …
speed navigation tasks. Four of such cameras form a surround-view system that provides a …
Analysis of automotive camera sensor noise factors and impact on object detection
Assisted and automated driving functions are increasingly deployed to support improved
safety and efficiency and enhance the driver experience. However, there are still key …
safety and efficiency and enhance the driver experience. However, there are still key …