mlsanityData to 7 Oct 2026

HPERL: 3D Human Pose Estimation from RGB and LiDAR

arXiv 2010.08221 ↗First posted 16 Oct 2020cs.CVcited by 18

Not on the map. Why?

Abstract (arXiv)

In-the-wild human pose estimation has a huge potential for various fields, ranging from animation and action recognition to intention recognition and prediction for autonomous driving. The current state-of-the-art is focused only on RGB and RGB-D approaches for predicting the 3D human pose. However, not using precise LiDAR depth information limits the performance and leads to very inaccurate absolute pose estimation. With LiDAR sensors becoming more affordable and common on robots and autonomous vehicle setups, we propose an end-to-end architecture using RGB and LiDAR to predict the absolute 3D human pose with unprecedented precision. Additionally, we introduce a weakly-supervised approach to generate 3D predictions using 2D pose annotations from PedX [1]. This allows for many new opportunities in the field of 3D human pose estimation.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Oct 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 3; 2023: 2; 2024: 5; 2025: 4; 2026: 2.

18 papers.

Sort:

  1. 2021Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Drivingcited by 39
  2. 2022Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDARcited by 23
  3. 2022HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Drivingcited by 22
  4. 2024RELI11D: A Comprehensive Multimodal Human Motion Dataset and Methodcited by 16
  5. 2025Towards Balanced Multi-Modal Learning in 3D Human Pose Estimationcited by 11
  6. 20233D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labelscited by 9
  7. 2024Human Modelling and Pose Estimation Overviewcited by 4
  8. 2024Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimationcited by 4
  9. 2024Improving Real-Time Omnidirectional 3D Multi-Person Human Pose Estimation with People Matching and Unsupervised 2D-3D Liftingcited by 2
  10. 2024Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth Analysiscited by 2
  11. 2025RISE: Single Static Radar-based Indoor Scene Understandingcited by 2
  12. 2023LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimationcited by 1
6 more
  1. 2025P2P-Insole: Human Pose Estimation Using Foot Pressure Distribution and Motion Sensorscited by 1
  2. 2021Neural Network Based Lidar Gesture Recognition for Realtime Robot Teleoperationcited by 0
  3. 2022Object Permanence in Object Detection Leveraging Temporal Priors at Inference Timecited by 0
  4. 20253D Human Pose and Shape Estimation from LiDAR Point Clouds: A Reviewcited by 0
  5. 2026Learning Human-Object Interaction for 3D Human Pose Estimation from LiDAR Point Cloudscited by 0
  6. 2026Contactless 3D Human Body Measurement Using Depth Cameras for Smart Health Monitoringcited by 0