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 … WebMar 31, 2024 · We present a challenging dataset, the TartanAir, for robot navigation tasks and more. The data is collected in photo-realistic simulation environments with the …
Alexa Prize - Amazon Science
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 … See more The dataset is published using Azure Open Dataset platform. Please checkout herefor the instruction of accessing the data. Sample trajectories can be downloaded here. See more We develop a highly automated pipe-line to facilitate data acquisition. For each environment, we build an occupancy map by incremental mapping. Base on the map, we then sample a bunch of trajectories for the … See more Simultaneous Localization and Mapping (SLAM) is one of the most fundamental capabilities necessary for robots. Due to the ubiquitous … See more WebMar 31, 2024 · Carnegie Mellon University 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... churro waffle house
TartanAir: A Dataset to Push the Limits of Visual SLAM
WebarXiv.org e-Print archive WebJul 8, 2024 · TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models Download the Data Data are available via azcopy copy … WebApr 18, 2024 · Our dataset contains 60k annotated photos of 21 household objects taken from the YCB dataset. For each image, we provide the 3D poses, per-pixel class segmentation, and 2D/3D bounding box coordinates for all objects. To facilitate testing different input modalities, we provide mono and stereo RGB images, along with … churro waffle menu