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pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
A map representation based on 3D segments
Ground Segmentation from Lidar Point Clouds
Real-Time 3D Semantic Reconstruction from 2D data
Real time semantic slam in ROS with a hand held RGB-D camera
A ROS package that extracts line segments from LaserScan messages.
The LiDAR segmenters library, for segmentation-based detection.
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
MicroPython driver for TM1637 quad 7-segment LED modules
Micropython driver for the HT16K33, a LED matrix, 7-Segment Numeric, and 14-Segment Alphanumeric display driver IC
MicroPython driver for TM1638 dual quad 7-segment LED modules with switches
Micropython driver for the max7219 with 8 x 7segment display
MicroPython driver for MY9221 10-segment LED bar graph modules
A micropython driver for 8-segment displays controlled by the TM74HC595 controller
Micropython library for a 8 digits 7-segment display based on the MAX7219.
A lightweight MicroPython library for controlling single-digit 7-segment displays (ESP32, ESP8266, Raspberry Pi Pico W supported).
Micropython driver for the max7219 with 8 x 7segment display