healthysong's repositories

3D-Machine-Learning

A resource repository for 3D machine learning

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ai_and_memory_wall

AI and Memory Wall blog post

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annotated-transformer

An annotated implementation of the Transformer paper.

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awesome-autonomous-vehicle

无人驾驶的资源列表中文版

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books-2

"我的阅历"

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Contrastive-Future-Trajectory-Prediction

The official repository of the ICCV paper "On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors"

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d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

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DIPP

Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving https://mczhi.github.io/DIPP/

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DisDis

The official PyTorch code implementation of "Personalized Trajectory Prediction via Distribution Discrimination" in ICCV 2021.

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DSP

Trajectory Prediction with Graph-based Dual-scale Context Fusion

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imb-behavior-prediction

Code for running the implementations proposed in: Westny, T., Frisk, E., Olofsson, B. "Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques" accepted for the 24th IEEE International Conference on Intelligent Transportation Systems- ITSC 2021

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KalmanBaseline

Baseline Kalman models for trajectory predictions. One is constant velocity LSTM

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LaneGCN

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

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LaneGCN_ref

An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)

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Lidar-Segementation

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

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M2I

M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

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MapTR

MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

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neat

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

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pcd2bin

.pcd to .bin converter (python)

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PCT_Pytorch

Pytorch implementation of PCT: Point Cloud Transformer

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points2grid

Points2Grid is a robust and scalable tool for gridding LIDAR point cloud data to generate Digital Elevation Models (DEM). Points2Grid uses a local gridding method to compute grid cell elevation using a neighborhood defined around each cell based on a search radius provided by the user.

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semantic-segmentation-editor

Web labeling tool for bitmap images and point clouds

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trajnetplusplusbaselines

Baselines for TrajNet++

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yet-another-vectornet

Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric (WIP)

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