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Target Fusion Detection of LiDAR and Camera Based on the Improved YOLO Algorithm
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.patcog.2016.01.030openalex-snapshot
Adaptive spatial pooling for image classification
inferredcites →https://doi.org/10.1016/j.patrec.2017.09.038openalex-snapshot
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data
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3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/ictc.2016.7763311openalex-snapshot
ConvNets and AGMM based real-time human detection under fisheye camera for embedded surveillance
inferredcites →https://doi.org/10.1109/iros.2017.8205955openalex-snapshot
3D fully convolutional network for vehicle detection in point cloud
inferredcites →https://doi.org/10.1109/itsc.2017.8317880openalex-snapshot
DepthCN: Vehicle detection using 3D-LIDAR and ConvNet
inferredcites →https://doi.org/10.1109/ivs.2012.6232303openalex-snapshot
Detection, classification and tracking of moving objects in a 3D environment
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.15607/rss.2015.xi.035openalex-snapshot
Voting for Voting in Online Point Cloud Object Detection
inferredcites →https://doi.org/10.1631/fitee.1601873openalex-snapshot
A vision-centered multi-sensor fusing approach to self-localization and obstacle perception for robotic cars
inferredcites →https://doi.org/10.3390/a10040127openalex-snapshot
A Real-Time Chinese Traffic Sign Detection Algorithm Based on Modified YOLOv2
inferredcites →https://doi.org/10.3390/electronics7060084openalex-snapshot
LiDAR and Camera Detection Fusion in a Real-Time Industrial Multi-Sensor Collision Avoidance System
inferredcites →https://doi.org/10.3390/rs2061610openalex-snapshot
Static Calibration and Analysis of the Velodyne HDL-64E S2 for High Accuracy Mobile Scanning
inferredcites →https://doi.org/10.3785/j.issn.1008-973x.2012.09.003openalex-snapshot
Real-time dynamic obstacle detection and tracking using 3D Lidar
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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