Enhancing Indoor Robot Pedestrian Detection Using Improved PIXOR Backbone and Gaussian Heatmap Regression in 3D LiDAR Point Clouds-Reference-Cited by-同舟云学术

Enhancing Indoor Robot Pedestrian Detection Using Improved PIXOR Backbone and Gaussian Heatmap Regression in 3D LiDAR Point Clouds

Published:2024 Issue: Volume:12 Page:9162-9176
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nguyen Duy Anh¹^ORCID,Hoang Khang Nguyen²^ORCID,Nguyen Nguyen Trung²,Nguyen Duy Anh¹,Tran Hoang Ngoc²^ORCID

Affiliation:

1. Department of Mechatronic Engineering, Faculty of Mechanical Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam

2. Department of Software Engineering, FPT University, Can Tho, Vietnam

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10385189.pdf?arnumber=10385189

Reference54 articles.

1. JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments

2. A Survey on 3D Object Detection Methods for Autonomous Driving Applications

3. PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

4. A Survey of 3D Point Cloud and Deep Learning-Based Approaches for Scene Understanding in Autonomous Driving

5. VoxelNet: End-to-end learning for point cloud based 3D object detection;Yin

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