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large-vocab-devil

latentfusion

LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation

lcd

[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching

ldif

3D Shape Representation with Local Deep Implicit Functions.

learn3d

The code repository for "Learning Pose-invariant 3D Object Reconstruction from Single-view Images"

learned-triangulation

Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020

leetcode-algorithm

分类整理leetcode算法题解，代码语言采用c++与python实现

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

lego-loam-bor

lidar2ins

lidar2rosbag_kitti

A simple way to convert KITTI LiDAR data to rosbag.

lidar_imu_init

Robust Real-time LiDAR-inertial Initialization Method.

lifelong-slam-dataset

liid

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation

lingvo

Lingvo

lio-sam_based_relocalization

A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.

lio_sam_6axis

LIO_SAM for 6-axis IMU and low-cost GNSS.

lit

[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"

loam-comparison

methods_lidar_3d

loam-velodyne-noted

Study notes and code comments

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

loam_velodyne-daobilige-su

Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner

long-term-localization

Pole-like Objects Mapping and Long-Term Robot Localization in Dynamic Urban Scenarios

lost

Pytorch implementation of LOST unsupervised object discovery method

lvi-sam-easyused

LVI-SAM for easier using (更简单的使用LVI-SAM的方法)

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

manhattan_sdf

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

map-free-reloc

[ECCV 2022] Map-free Visual Relocalization: Metric Pose Relative to a Single Image

maplab

An open visual-inertial mapping framework.

marginalization

Sample code for marginalization of SLAM, Visual-Inertial Odometry.