mlsanityData to 14 Oct 2026

CARLA-BSP: a simulated dataset with pedestrians

arXiv 2305.00204 ↗First posted 29 Apr 2023cs.CVcited by 3

Not on the map. Why?

Abstract (arXiv)

We present a sample dataset featuring pedestrians generated using the ARCANE framework, a new framework for generating datasets in CARLA (0.9.13). We provide use cases for pedestrian detection, autoencoding, pose estimation, and pose lifting. We also showcase baseline results. For more information, visit https://project-arcane.eu/.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 14 of its 32 references that are in the map. First posted on arXiv 29 Apr 2023.

Builds on

14 of 32 references.

References · 14

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  2. 2017CARLA: An Open Urban Driving Simulatorcited by 2,449
  3. 2019Expressive Body Capture: 3D Hands, Face, and Body from a Single Imagecited by 1,612
  4. 2019AMASS: Archive of Motion Capture as Surface Shapescited by 1,236
  5. 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,162
  6. 2020Accelerating 3D Deep Learning with PyTorch3Dcited by 784
  7. 20183D human pose estimation in video with temporal convolutions and semi-supervised trainingcited by 403
  8. 2017A simple yet effective baseline for 3d human pose estimationcited by 401
  9. 2020Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Predictioncited by 325
  10. 2020HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimationcited by 307
  11. 20213D Human Pose Estimation with Spatial and Temporal Transformerscited by 272
  12. 2020UniPose: Unified Human Pose Estimation in Single Images and Videoscited by 49
2 more
  1. 2017Agreeing to Cross: How Drivers and Pedestrians Communicatecited by 23
  2. 2021SRA-LSTM: Social Relationship Attention LSTM for Human Trajectory Predictioncited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 1; 2026: 1.

3 papers.