A Framework for Fast Prototyping of Photo-realistic Environments with Multiple Pedestrians

Author:

Casao Sara1,Otero Andrés1,Serra-Gómez Álvaro2,Murillo Ana C.1,Alonso-Mora Javier2,Montijano Eduardo1

Affiliation:

1. Universidad de Zaragoza,RoPeRt group, at DIIS - I3A,Spain

2. Cognitive Robotics, at TU Delft,The Netherlands

Publisher

IEEE

Reference38 articles.

1. Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd

2. Performance measures and a data set for multi-target, multi-camera tracking;ristani;European Conference on Computer Vision,0

3. Airsim: High-fidelity visual and physical simulation for autonomous vehicles;shah;Field and Service Robotics,2018

4. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics

5. Simulating intelligent human agents for intricate social robot navigation;favier;RSS Workshop on Social Robot Navigation,0

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1. Sim-to-Real Vision-Depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopters;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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