torchlidar Goto Github PK

2.5d_datmo

2.5D Grid-based Detection and Tracking of Moving Objects (DATMO)

3d-lidar-multiple-obstacle-tracking

This code is used to detect obstacles using a 3D Lidar

3d-semantic-segmentation-for-scene-parsing

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

3dmfv-net-matlab

A MATLAB implementation of 3DmFV-Net

advent

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

bachgan

bdl

bomuda-boundless-multi-source-domain-adaptive-segmentation-in-unstructured-environments

Codebase for the paper 'BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unstructured Environments'

centerpoint

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

deeplidar

Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

denselidarnet

det3d

A general 3D object detection codebse.

dlow

dynamic-occupancy-grid-map

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

e3d

Efficient Methods for 3D Deep Learning

effectivepytorch

PyTorch tutorials and best practices.

ground-removal-k-means-clustering-and-ekf

Ground Filter, Clustering, Extended Kalman Filter on 3d Lidar Pointcloud

instagan

InstaGAN: Instance-aware Image Translation (ICLR 2019)

lidar_generation

Code for "Deep Generative Models for LiDAR Data"

lidar_image_projection

mmmot

[ICCV2019] Robust Multi-Modality Multi-Object Tracking

multiclass-semantic-segmentation-camvid

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

multiple-moving-object-detecting-and-tracking-using-ml

Multiple Moving objects in a surveillance video were detected and tracked using ML models such as AdaBoosting. The obtained results were compared with the results from Kalman Filter.

object_detection

object_detection_tracking

object detection and tracking (velodyne LiDAR)

odas

ODAS: Optimization-based Detection of Architectural Symmetries

p2b

P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds

pillar-od

pointcloud_ground_detection