WebFeb 29, 2024 · TartanAir: A Dataset to Push the Limits of Visual SLAM Published: Feb 29, 2024 by Wenshan Wang Abstract We present a challenging dataset, the TartanAir, for robot navigation task and more. The data is collected in photo-realistic simulation environments in the presence of various light conditions, weather and moving objects. WebOct 24, 2024 · TartanAir: A Dataset to Push the Limits of Visual SLAM Abstract: We present a challenging dataset, the TartanAir, for robot navigation tasks and more. The data is collected in photo-realistic simulation environments with the presence of moving objects, changing light and various weather conditions.
AIcrowd TartanAir Visual SLAM - Mono Track Leaderboards
Webthe SLAM dataset TartanAir, which provides a large amount of diverse synthetic data in challenging environments. Furthermore, to make our VO model generalize across … WebWelcome to TartanAir Visual SLAM (Simultaneous Localization and Mapping) Challenge, one of the official challenges in the CVPR 2024 SLAM workshop. This benchmark … halloween michael myers game ps4
Maxime Ferrera
WebMar 31, 2024 · SLAM is an essential task for the autonomy of a robot. Nowadays, the problem of SLAM is considered solved when range sensors such as lasers or sonar are … WebDec 21, 2024 · This dataset was used to train the first generalizable learning-based visual odometry TartanVO, which achieved better performance than geometry-based VO … WebOct 31, 2024 · We present the first learning-based visual odometry (VO) model, which generalizes to multiple datasets and real-world scenarios and outperforms geometry-based methods in challenging scenes. We achieve this by leveraging the SLAM dataset TartanAir, which provides a large amount of diverse synthetic data in challenging environments. burger chef new jersey locations