A paper list of lane detection.

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

4D Panoptic Lidar Segmentation

LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)

CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)

Paper reading notes on Deep Learning and Machine Learning

代码 -《深度学习之PyTorch物体检测实战》

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

A Python library for common tasks on 3D point clouds

Differentiable IoU of rotated bounding boxes using Pytorch

绝妙的个人生产力（Awesome Productivity 中文版）

Visualizer for neural network, deep learning, and machine learning models

A curated list of radar datasets, detection, tracking and fusion

One Million Scenes for Autonomous Driving

A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes

A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

The proposed approach enhances the CenterPoint baseline with a multimodal fusion mechanism. First, inspired by PointPainting, an off-the-shelf Mask-RCNN model trained from nuImages is employed to g…

CVPR 2021 论文和开源项目合集