Vehicle Detection from 3D Lidar Using Fully Convolutional Network

Cited by (576)

Items 401–500 of 576

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19. Cascaded Cross-Modality Fusion Network for 3D Object Detection
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38. LIDAR based Detection of Small Vehicles
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39. NV2P-RCNN: Feature Aggregation Based on Voxel Neighborhood for 3D Object Detection
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40. Receptive Field Space for Point Cloud Analysis
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41. Enhancing Deep Learning-Based Segmentation Accuracy through Intensity Rendering and 3D Point Interpolation Techniques to Mitigate Sensor Variability
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42. 3D Fast Object Detection Based on Discriminant Images and Dynamic Distance Threshold Clustering
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44. The Research on Control and Dynamic Property of Autonomous Vehicle Adaptive Lidar System
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45. Autonomous Embedded System Enabled 3-D Object Detector: (with Point Cloud and Camera)
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46. Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation
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47. Estimation of Lane-Level Traffic Flow Using a Deep Learning Technique
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48. MF-Net: Meta Fusion Network for 3D object detection
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49. Local Aggressive Adversarial Attacks on 3D Point Cloud
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50. Blind Spot Warning System based on Vehicle Analysis in Stream Images by a Real-Time Self-Supervised Deep Learning Model
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51. Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection
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52. Data Issues in High-Definition Maps Furniture – A Survey
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55. epBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module
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56. Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems
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