pykitti
Python tools for working with the KITTI autonomous driving dataset, providing data loaders and utilities for computer vision and robotics.
What is pykitti?
pykitti is a Python library that provides tools for loading and working with the KITTI dataset, a popular benchmark for autonomous driving and computer vision research. It handles parsing of sensor data, calibration files, and timestamps, allowing developers to easily access camera images, LiDAR scans, and IMU data. The library supports both raw datasets and odometry benchmarks, streamlining the data preprocessing pipeline.
Researchers and developers in autonomous driving, computer vision, and robotics who need to work with the KITTI dataset for tasks like visual odometry, 3D reconstruction, or sensor fusion.
pykitti offers a minimal, well-documented interface that reduces the complexity of handling KITTI's multi-sensor data structure. Unlike custom parsing scripts, it provides consistent access patterns, calibration utilities, and support for both sequential and random data access, saving time and reducing errors in research workflows.
Overview
Python tools for working with KITTI data.
Use Cases
Best For
- Loading KITTI raw sensor data for autonomous driving experiments
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