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2022-07-09 05:50:56
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Basic Concept
Sensors
Camera
LiDAR
Radar
调皮连续波:毫米波雷达传感器【专栏文章目录】
毫米波雷达传感器基础知识
2019 年中国毫米波雷达行业概览
4D Radar
汽车智能化系列之4D成像雷达:于锦上更添花,由侧幕登前台
Oculii Installation
Oculii Data
Sensor Fusion
Performance on NuScenes
Survey
Architecture
Background
Calibration
Coordinates
Radar Object Detection
Dataset
Methods
Radar-Camera Fusion
Radar
Radar Architecture
语料库
Experiments
USV
Architecture
Survey
Approaches
Background
Dataset
Papers
PointPillars
Fusion
Distant vehicle detection using radar and vision
RRPN: Radar Region Proposal Network for Object Detection in Automomous Vehicles
A Deep learning-based radar and camera sensor fusion architecture for object detection
Developing an On-Road Object Detection System Using Monovision and Radar Fusion
Radar Camera Fusion via Representation Learning in Autonomous Driving
Spatial Attention Fusion for Obstacle Detection UsingMmWave Radar and Vision Sensor
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors
Object Detection Using Multi-Sensor Fusion Based on Deep Learning
Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors
USV
Robust Small Object Detection on the Water Surface through Fusion of Camera and Millimeter Wave Radar
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters
Are We Ready for Unmanned Surface Vehicles in Inland Waterways? The USVInland Multisensor Dataset and Benchmark
Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Complex-YOLO: An Euler-Region-Proposal for Real-time 3D Object Detection on Point Clouds
RVNet: Deep Sensor Fusion of Monocular Camera and Radar for Image-Based Obstacle Detection in Challenging Environments
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition
Automotive radar and camera fusion using Generative Adversarial Networks
Moving Target Classification in Automotive Radar System Using C-RNN
Automotive Radar Gridmap Representations
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
Experiments with mmWave Automotive Radar Test-bed
Practical classification of different moving targets using automotive radar and deep neural networks
Two-Stage Pedestrian Classification in Automotive Radar Systems
RODNet: Radar Object Detection Using Cross-Modal Supervision
Radar Based Object Detection and Tracking for Autonomous Driving
Coastal SLAM With Marine Radar for USV Operation in GPS-Restricted Situations
Robust CFAR Detection for Multiple Targets in K-Distributed Sea Clutter Based on Machine Learning
Probabilistic Oriented Object Detection in Automotive Radar
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
Datasets
Summary
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Groups
Methodology
Signal Processing Workflow and Radar Imaging
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深蓝-多传感器融合
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齐次坐标
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Reading
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mobileye
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无人船感知
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