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mengxingshifen1218's Projects

far_planner icon far_planner

Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments

fast-ground-segmentation-based-on-jpc icon fast-ground-segmentation-based-on-jpc

An implementation on "Shen Z, Liang H, Lin L, Wang Z, Huang W, Yu J. Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process. Remote Sensing. 2021; 13(16):3239. https://doi.org/10.3390/rs13163239"

fast-planner icon fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

fast-racing icon fast-racing

An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing

faster icon faster

3D Trajectory Planner in Unknown Environments

fastest-lap icon fastest-lap

Fastest-lap is a vehicle dynamics simulator. It can be used to understand vehicle dynamics, to learn about driving techniques, to design car prototypes, or just for fun!

fastplanner-lite icon fastplanner-lite

A lite version of Fast-planner, global planner, using MINCO back-end. 代码简洁,供参考学习。

fchardnet icon fchardnet

Fully Convolutional HarDNet for Segmentation in Pytorch

ff icon ff

Safe Local Motion Planning with Self-Supervised Freespace Forecasting, CVPR 2021

fields2cover icon fields2cover

Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library

fiesta icon fiesta

Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

fiss_planner icon fiss_planner

[RA-L 2022] FISS: A Trajectory Planning Framework using Fast Iterative Search and Sampling Strategy for Autonomous Driving

fiss_plus_planner icon fiss_plus_planner

[IROS 2023] FISS+: Efficient and Focused Trajectory Generation and Refinement using Fast Iterative Search and Sampling Strategy

floam icon floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping

focalsconv icon focalsconv

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

forecast-mae icon forecast-mae

[ICCV'2023] Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders

frenetix icon frenetix

C++-accelerated Frenet Trajectory Planning Handler

from-voxel-to-point icon from-voxel-to-point

"From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder" and "Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud" in ACM MM 2021.

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