car-coder-907 Goto Github PK

4dmos

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)

applied-machine-learning-explainability-techniques

Applied Machine Learning Explainability Techniques, published by Packt

awesome-point-cloud-deep-learning

Paper list of deep learning on point clouds.

bev-mot-deepsort-lidar-clustering

camera-lidar-fusion-ros

fully applied in ROS. simply fuse the category and location information

camradepth

Semantic Guided Depth Estimation with Transformers Using Monocular Camera and Sparse Radar

coop_t2t

Code for the Bachelor Thesis on "Track-to-Track Association and Fusion for Cooperative Automotive Environment Perception"

cvpr-2022-papers-en

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

densetorch

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

driveandsegment

efficientps

PyTorch code for training EfficientPS for Panoptic Segmentation

epro-pnp

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

fusiontracking

Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing

hybridnets

HybridNets: End-to-End Perception Network

hydrafusion

Model code for our paper titled "HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception"

idisc

iDisc: Internal Discretization for Monocular Depth Estimation [CVPR 2023]

improving_segmentation_with_selfsupervised_depth

An implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

kopernikus

Programming challenge for Perception team member in Kopernikus

kpit_fusion_object_detection_dl

Fusion of LiDAR and depth camera data with deep learning for object detection and classification

match_maker

Matches your Tinder profile with the person who liked you.

matlab-deep-learning-model-hub

Discover pretrained models for deep learning in MATLAB

mildlyoverfitted

Paper implementations from scratch and machine learning tutorials

nd013-c2-sensor-fusion

Course submission material for Lidar point cloud based 3D Detection using Yolo, followed by Sensor Fusion and Camera Based Tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree

norfair

Lightweight Python library for adding real-time object tracking to any detector.

opencood

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

paz

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

pclsegmentation

Tensorflow 2.6 Pipeline for Semantic Pointcloud Segmentation with SqueezeSeqV2, Darknet21 and Darknet52.

radar-vision-sensor-fusion-matlab

Object-level sensor fusion using radar and vision synthetic data in MATLAB