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Hi there 👋 , welcome to Kin's GitHub page!

  • 🌱 I'm a Ph.D. student at the DIVISION OF ROBOTICS, PERCEPTION AND LEARNING at KTH Royal Institute of Technology, supervised by Prof. Patric Jensfelt and Prof. Olov Andersson. My research mainly focuses on dynamic awareness in point clouds based on our WASP project. Still exploring...
  • ✨ MPhil Graduated in Aug 2022. I was a MPhil Student at the Robotics Institute RAMLAB of The Hong Kong University of Science and Technology, supervised by Prof. Ming Liu and Prof. Wei Zhang. My MPhil research mainly focused on planning and end-to-end learning for self-driving.
  • 😄 I enjoy learning about different things and techniques, diving into theory, and blogging.
  • ⚡ Life ideal: open-source amazing project, travel around the world

(。・∀・)ノ゙嗨 👋 , 這裡是張聰明

  • 🌱 現在我是瑞典皇家理工學院的在讀博士,師從Prof. Patric JensfeltProf. Olov Andersson,研究方向:点云中的动态物体感知等工作,還在探索中...
  • ✨ 2022年8月畢業:在劉明教授張薇教授指導下,於香港科技大學機器人研究所RI RAMLAB 攻讀研究型碩士。碩士期間主要研究無人駕駛中的**規劃和端到端學習下的自動駕駛系統設計
  • 😄 享受學習不同的知識和技巧,喜歡探究理論部分,同時喜歡寫博客
  • ⚡ 人生理想:想一些有意思idea,然後開源 耶✌️,環遊世界

Qingwen Zhang's Projects

4dmos icon 4dmos

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

av2-api icon av2-api

fork Argoverse 2: Next generation datasets for self-driving perception and forecasting.

bearkoutgame_3d icon bearkoutgame_3d

COMP5411的Final Project (做的是3D breakout game) [https://github.com/Kin-Zhang/bearkoutgame_3d]

carla-expert icon carla-expert

All kind of experts that can collect data for e2e learning in CARLA; 根据现有的开源代码,收集的相关experts

carla-roach icon carla-roach

用以后续进行方法对比及参考;原见fork Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

core_perception icon core_perception

Autoware.ai的perception模块 (因为ndt_mapping的bug修复所fork已提出pull request)

dufomap icon dufomap

[RA-L'24] DUFOMap: Efficient Dynamic Awareness Mapping (fork for detail instructions)

dynablox icon dynablox

Real-time detection of diverse dynamic objects in complex environments.

emergent-occ-forecasting icon emergent-occ-forecasting

Fork to experiment. Origin: Implementation of the ECCV '22 paper, "Differentiable Raycasting for Self-supervised Occupancy Forecasting"

erasor icon erasor

Dynamic Map benchmark implementation

fast_lio icon fast_lio

KTH oblam_2022 Course Assignment 1, fork FAST_LIO, modify for less dependences

gpir icon gpir

用以thesis的修改与提取, 原发表于ICRA2022: Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement

lav icon lav

check discussion in updated link: https://github.com/Kin-Zhang/carla-expert/discussions; 用以后续进行方法对比及参考;原:(CVPR 2022) A minimalistic stack for joint perception, prediction, planning and control for end-to-end self driving.

linefit icon linefit

Ground Segmentation for Point Clouds in Autonmous Driving (python binding)

mmfn icon mmfn

[IROS'22] MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving

nvblox icon nvblox

A GPU-accelerated TSDF and ESDF library for robots equipped with RGB-D cameras.

oblam_deskew icon oblam_deskew

KTH OBLAM Assignment 4 for Optimization-based Localization and Mapping Course

oblam_pgo icon oblam_pgo

KTH OBLAM Assignment 3 on Loop Closure and Pose Graph Optimization for OBLAM CourseY

octomap icon octomap

Modifed and improved octomapping to map clean task

openpcdet icon openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

orb_slam3 icon orb_slam3

(用以后续实验) ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

patchwork-plusplus icon patchwork-plusplus

(fork) Patchwork++: Fast and robust ground segmentation method using 3D point cloud

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