research
∙
06/22/2023
Continuous Online Extrinsic Calibration of Fisheye Camera and LiDAR
Automated driving systems use multi-modal sensor suites to ensure the re...
share
research
∙
11/08/2021
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
Moving object detection and segmentation is an essential task in the Aut...
research
∙
04/21/2021
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving
LiDAR based 3D object detection is a crucial module in autonomous drivin...
research
∙
04/09/2021
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
A 360 perception of scene geometry is essential for automated driving, n...
research
∙
08/10/2020
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...
research
∙
07/13/2020
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models
In classical computer vision, rectification is an integral part of multi...
research
∙
02/10/2020
StickyPillars: Robust feature matching on point clouds using Graph Neural Networks
StickyPillars introduces a sparse feature matching method on point cloud...
research
∙
10/08/2019
Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds
Localization and Mapping is an essential component to enable Autonomous ...
research
∙
10/07/2019
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving
Fisheye cameras are commonly used in applications like autonomous drivin...
research
∙
05/04/2019
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
Fisheye cameras are commonly employed for obtaining a large field of vie...
research
∙
04/16/2019
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
Accurate detection of 3D objects is a fundamental problem in computer vi...
research
∙
02/26/2019
Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks
Recently, realistic data augmentation using neural networks especially g...
research
∙
02/26/2019
Capsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic Sensors
High performance ultrasonic sensor hardware is mainly used in medical ap...
research
∙
02/10/2019
NeurAll: Towards a Unified Model for Visual Perception in Automated Driving
Convolutional Neural Networks (CNNs) are successfully used for the impor...
research
∙
01/26/2019
Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks
We present the first approach for 3D point-cloud to image translation ba...
research
∙
01/11/2019
Exploring Deep Spiking Neural Networks for Automated Driving Applications
Neural networks have become the standard model for various computer visi...
research
∙
11/29/2018
Efficient Semantic Segmentation for Visual Bird's-eye View Interpretation
The ability to perform semantic segmentation in real-time capable applic...
research
∙
03/16/2018
Complex-YOLO: Real-time 3D Object Detection on Point Clouds
Lidar based 3D object detection is inevitable for autonomous driving, be...
research
∙
03/16/2018
