Cross-platform, customizable ML solutions for live and streaming media.
-
Updated
Nov 16, 2024 - C++
Cross-platform, customizable ML solutions for live and streaming media.
[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
Perception toolkit for sim2real training and validation in Unity
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
⚡️The spatial perception framework for rapidly building smart robots and spaces
An open-source computer vision framework to build and deploy apps in minutes
An OpenAI gym wrapper for CARLA simulator
Platform for Situated Intelligence
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
Simulations for TurtleBot3
[ECCV2024 Oral🔥] Official Implementation of "GiT: Towards Generalist Vision Transformer through Universal Language Interface"
Unity's privacy-preserving human-centric synthetic data generator
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
Add a description, image, and links to the perception topic page so that developers can more easily learn about it.
To associate your repository with the perception topic, visit your repo's landing page and select "manage topics."