Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras
Z Teed, J Deng - Advances in neural information …, 2021 - proceedings.neurips.cc
We introduce DROID-SLAM, a new deep learning based SLAM system. DROID-SLAM
consists of recurrent iterative updates of camera pose and pixelwise depth through a Dense …
consists of recurrent iterative updates of camera pose and pixelwise depth through a Dense …
Visual SLAM integration with semantic segmentation and deep learning: A review
Simultaneous localization and map** (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
Toward general-purpose robots via foundation models: A survey and meta-analysis
Building general-purpose robots that operate seamlessly in any environment, with any
object, and utilizing various skills to complete diverse tasks has been a long-standing goal in …
object, and utilizing various skills to complete diverse tasks has been a long-standing goal in …
Infinite photorealistic worlds using procedural generation
We introduce Infinigen, a procedural generator of photorealistic 3D scenes of the natural
world. Infinigen is entirely procedural: every asset, from shape to texture, is generated from …
world. Infinigen is entirely procedural: every asset, from shape to texture, is generated from …
Deep patch visual odometry
Abstract We propose Deep Patch Visual Odometry (DPVO), a new deep learning system for
monocular Visual Odometry (VO). DPVO uses a novel recurrent network architecture …
monocular Visual Odometry (VO). DPVO uses a novel recurrent network architecture …
Relpose: Predicting probabilistic relative rotation for single objects in the wild
We describe a data-driven method for inferring the camera viewpoints given multiple images
of an arbitrary object. This task is a core component of classic geometric pipelines such as …
of an arbitrary object. This task is a core component of classic geometric pipelines such as …
Deep patch visual slam
Abstract Recent work in Visual Odometry and SLAM has shown the effectiveness of using
deep network backbones. Despite excellent accuracy, such approaches are often expensive …
deep network backbones. Despite excellent accuracy, such approaches are often expensive …
Autonomous drone racing: A survey
Over the last decade, the use of autonomous drone systems for surveying, search and
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …
Monst3r: A simple approach for estimating geometry in the presence of motion
Estimating geometry from dynamic scenes, where objects move and deform over time,
remains a core challenge in computer vision. Current approaches often rely on multi-stage …
remains a core challenge in computer vision. Current approaches often rely on multi-stage …
XVO: Generalized visual odometry via cross-modal self-training
We propose XVO, a semi-supervised learning method for training generalized monocular
Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and …
Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and …