joseph-zhong / KITTI-devkitLinks
Official Devkit for the KITTI Depth Prediction/Completion Benchmark 2017
☆23Updated 4 years ago
Alternatives and similar repositories for KITTI-devkit
Users that are interested in KITTI-devkit are comparing it to the libraries listed below
Sorting:
- This repository contains utility scripts for the KITTI-360 dataset.☆431Updated 4 months ago
- Current state of supervised and unsupervised depth completion methods☆498Updated 9 months ago
- ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"☆354Updated 4 years ago
- Creates a dense depth map from LiDAR point clouds.☆98Updated 3 years ago
- Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration usingCost Volume Network”.☆120Updated 3 years ago
- ☆637Updated 6 months ago
- Official Repository of "SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion"☆66Updated 3 years ago
- Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications (IROS 2020)☆62Updated 4 years ago
- PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)☆127Updated last year
- module for converting raw lidar in kitti to depthmap☆65Updated 5 years ago
- Dense Depth for Autonomous Driving (DDAD) dataset.☆544Updated 4 years ago
- DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021☆253Updated 2 years ago
- [CoRL 2022] SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation☆286Updated 2 years ago
- SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage//jiawangbian.github.io/sc_depth_pl/☆480Updated 2 years ago
- A non-learning geometry-based LiDAR depth completion model with components including outlier removal, normal calculation, distance transf…☆48Updated 4 years ago
- ☆341Updated 2 years ago
- [AAAI 2024] Official implementation of "SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation", and more.☆95Updated last year
- Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]☆508Updated 3 years ago
- ☆146Updated 2 years ago
- This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".☆250Updated 4 years ago
- Code for Monocular Visual-Inertial Depth Estimation (ICRA 2023)☆187Updated 4 months ago
- Self-supervised monocular depth estimation with a vision transformer☆185Updated 2 years ago
- KITTI Odometry Evaluation Toolbox☆240Updated last year
- ☆267Updated 11 months ago
- Visualization Library☆104Updated last year
- Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud☆188Updated 7 years ago
- Codes for RoadBEV: road surface reconstruction in Bird's Eye View☆208Updated last year
- Pytorch implementation of CalibNet☆50Updated 5 months ago
- Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration usingCost Volume Network”.☆56Updated 4 years ago
- Visual Odometry with Inertial and Depth (VOID) dataset☆130Updated last year