Fusion of 3D LIDAR and Camera Data for Object Detection in Autonomous Vehicle Applications
Explore this paper's citation graph
- Type
- article
- Published
- 2020-05-01
- Cited by
- 271
- References
- 61
- OpenAlex
- https://openalex.org/W3000171824
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:214023264
Keywords
Lidar, Artificial intelligence, Computer vision, Computer science, Object detection
References
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- You Only Look Once: Unified, Real-Time Object Detection
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Scale-Aware Fast R-CNN for Pedestrian Detection
- Contextual classification of lidar data and building object detection in urban areas
- SVM-Based Classification of Segmented Airborne LiDAR Point Clouds in Urban Areas
- A multi-sensor fusion system for moving object detection and tracking in urban driving environments
- The Pascal Visual Object Classes (VOC) Challenge
- Motion Field Estimation for a Dynamic Scene Using a 3D LiDAR
- Model based vehicle detection and tracking for autonomous urban driving
- Spin-image target detection algorithm applied to low density 3D point clouds
- A Fast and Accurate Segmentation Method for Ordered LiDAR Point Cloud of Large-Scale Scenes
- Selective Search for Object Recognition
- Segmentation of dense range information in complex urban scenes
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- ImageNet: A large-scale hierarchical image database
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- Vision meets robotics: The KITTI dataset
- Fast Feature Pyramids for Object Detection
- Moving object detection with laser scanners
Cited by
- An Automatic Background Filtering Method for Detection of Road Users in Heavy Traffics Using Roadside 3-D LiDAR Sensors With Noises
- A Fault Detection and Diagnosis System for Autonomous Vehicles Based on Hybrid Approaches
- Towards Better Driver Safety: Empowering Personal Navigation Technologies with Road Safety Awareness
- A Method of Multiple Dynamic Objects Identification and Localization Based on Laser and RFID
- 3-D Dense Rangefinder Sensor With a Low-Cost Scanning Mechanism
- A two-level computer vision-based information processing method for improving the performance of human–machine interaction-aided applications
- Data Processing Approaches on SPAD-Based d-TOF LiDAR Systems: A Review
- Cost Effective Mobile Mapping System for Color Point Cloud Reconstruction
- A Searching Space Constrained Partial to Full Registration Approach With Applications in Airport Trolley Deployment Robot
- A 13-Bit, 12-ps Resolution Vernier Time-to-Digital Converter Based on Dual Delay-Rings for SPAD Image Sensor
- An efficient autonomous vehicle navigation scheme based on LiDAR sensor in vehicular network
- An Automatic Lane Marking Detection Method With Low-Density Roadside LiDAR Data
- Analysis of Dynamic Forest Structures Based on Hierarchical Features Extracted From Multi-station LiDAR Scanning
- A Pedestrian Detection Algorithm Based on Score Fusion for Multi-LiDAR Systems
- Data Fusion for Intelligent Crowd Monitoring and Management Systems: A Survey
- Camera-LIDAR Object Detection and Distance Estimation with Application in Collision Avoidance System
- A 64 × 64 SPAD Flash LIDAR Sensor Using a Triple Integration Timing Technique With 1.95 mm Depth Resolution
- Spatio-Contextual Deep Network-Based Multimodal Pedestrian Detection for Autonomous Driving
- Real-Time Object Detection for LiDAR Based on LS-R-YOLOv4 Neural Network
- Multi-station LiDAR scanning-based hierarchical features for generation of an allometric stem volume model
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