bjajoh Goto Github PK

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Name: Bjarne Johannsen

Type: User

Company: @sensmore @GlobalFormulaRacing

Bio: Building huge Robots.

Twitter: b_johannsen

Location: Berlin

Hi there 👋

I build Robots 🤖 and Perception Systems 📸!

🧐 (Mobile) Robotics, Perception (Sensors, Image Processing and Deep Learning).
💼 Master at University of Stuttgart - Focus on Perception Systems for Autonomous Driving.
🎓 Bachelor in Electrical Engineering - Vehicle Electronics and Mechatronic Systems.
💻 Building a sensmore which is a Berlin-based autonomous machine 2.0 technology company that’s using artificial intelligence to solve automation for heavy machines deployed in harsh conditions in a new way. We are using using the latest advances in imaging radar technoligy and deep learning to bring the next generation automated machine platform that can robustly and cost efficient be deployed in any environments, anywhere in the world on any machine.
🏎 Also building electric/driverless formula student race cars for many years in my spare time.

Bjarne Johannsen's Projects

ai-lectures

Lecture slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

axis_camera-python3-noetic

Contains basic Python drivers for accessing an Axis camera's MJPG stream. Also provides control for PTZ cameras.

bjajoh

blender_kitti

Render large point clouds and voxel grids with blender.

boostingmonoculardepth

correspondence-problems-in-computer-vision

Approached to solve Correspondence Problems such as Optical Flow.

cv2-tf-scipy-for-arm-mac

Installation guide for native tensor flow, opencv and scipy with all relevant tools.

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-tensorflow-2019

Uni Stuttgart Deep Learning Course

dirt-devel-ros

docker-qemu-rpi-os

Docker images with Raspberry Pi OS running on QEMU

fsoco

Formula Student Objects in Context Dataset for the Formula Student Driverless competitions

gazebo-tunnel-world

helloworld

A C++ Hello World project, using CMake, and GitHub Actions

homography-based-ground-detection-for-a-mobile-robot-platform-using-a-single-camera

Homography-based Ground Detection for A Mobile Robot Platform Using a Single Camera

introduction-to-ai

Uni Stuttgart introduction to AI lecture coding

kitti_scan_unfolding

:snake: Python Implementation for KITTI Scan Unfolding

lccv

LibCamera wrapper library for OpenCV

lidar_transfer

Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.

linux

Kernel source tree for Raspberry Pi Foundation-provided kernel builds. Issues unrelated to the linux kernel should be posted on the community forum at https://www.raspberrypi.org/forum