Kitti Dataset
Showing 19 of 19 projects
An unsupervised learning framework for depth and ego-motion estimation from monocular videos using TensorFlow.
A real-time baseline 3D multi-object tracking system using LiDAR point clouds, combining 3D Kalman filter and Hungarian algorithm.
A deep learning pipeline for 3D object detection from RGB-D data by combining 2D detectors with PointNet-based 3D processing.
Python tools for working with the KITTI autonomous driving dataset, providing data loaders and utilities for computer vision and robotics.
Fast and optimized LiDAR odometry and mapping for real-time indoor/outdoor robot localization, achieving up to 3x speedup over prior methods.
A PyTorch implementation for super fast and accurate 3D object detection using LiDAR point clouds, featuring an anchor-free approach.
An efficient LiDAR-based semantic SLAM system that builds 3D semantic maps from laser scans.
A deep learning-enhanced Kalman filter for accurate vehicle dead reckoning using only an IMU sensor.
Convert KITTI autonomous driving datasets into ROS bag files for easy playback and integration.
A desktop tool for labeling individual points and polygons in LiDAR point cloud datasets, specifically designed for KITTI format.
A convolutional neural network model for real-time road-object segmentation from 3D LiDAR point clouds.
A single-stage 3D object detector for point clouds that improves localization precision by explicitly leveraging structure information.
A 3D vision library for monocular and stereo 3D human detection, social distancing, and body orientation estimation from 2D keypoints.
Utility scripts for loading, visualizing, and inspecting the KITTI-360 autonomous driving dataset.
ROS & ROS2 implementation of Patchwork++, a fast and robust ground segmentation method for 3D LiDAR point clouds.
Converts KITTI autonomous driving dataset raw data to ROS bags and provides a C++ library for direct data access.
A ROS package extension for ORB-SLAM2 that enables saving and loading ORB feature maps for closed-circuit visual localization of autonomous vehicles.
ROS package for sensor processing, object detection, tracking, and evaluation using the KITTI Vision Benchmark dataset.
A TensorFlow implementation of hierarchical attentive recurrent neural networks for single object tracking in videos.
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