Bruno Santos

@brunoeducsantos.bsky.social

Physics engineer & Robotics Engineer & Studying 3DCV

Remember: the route to Spatial AI is through SLAM. Key research topics are representations for real-time fusion of measurements and priors into persistent semantic/metric scene models; and algorithm/hardware co-design for 1000X efficiency. #SpatialAI arxiv.org/abs/1803.11288

FutureMapping: The Computational Structure of Spatial AI Systems

We discuss and predict the evolution of Simultaneous Localisation and Mapping (SLAM) into a general geometric and semantic `Spatial AI' perception capability for intelligent embodied devices. A big ga...

arxiv.org

Learning to Drive (L2D): the most exciting dataset release of the year by @hf.co & @yaak-ai.bsky.social - 5K hours of driving data from 3 cameras - lots of other synchronized data: GPU, IMU, CAN, actions, task descriptions - 90TB of data - LeRobot data formatting huggingface.co/blog/lerobot...

LeRobot goes to driving school: World’s largest open-source self-driving dataset

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

huggingface.co

Open source code now available MASt3R-SLAM: the best dense visual SLAM system I've ever seen. Real-time and monocular, and easy to run with a live camera or on videos without needing to know the camera calibration. Brilliant work from Eric and Riku.

Riku Murai@rmurai0610.bsky.social · 2y ago

MASt3R-SLAM code release! github.com/rmurai0610/M... Try it out on videos or with a live camera Work with @ericdexheimer.bsky.social*, @ajdavison.bsky.social (*Equal Contribution)