MaxPRon
Pursuing a PhD in the area of radar/camera based perception for autonomous vehicles
TU Graz / SETLabs GmbHMunich
Pinned Repositories
Arduino-Wireless
Short script to read a real time clock (RTC) using an Arduino Nano. The time is then transmitted via 433Mhz communication using sender/receiver modules.
Basics-of-Machine-Learning
Exercises related to the Google Machine Learning Crash Course
CE_lane_change
Continous Environment for lane change
DQN-for-lane-change-in-highway-scenarios
Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving
DQN_distance_keeping
Implemenation of a distance keeping scenario and DQN
DQN_lane_change
Implemenation of DQN for lane changes
fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
I2DL-Lecture
Exercises and tutorials from the TUM lecture Introduction to Deep Learning by Professor Dai and team
Q_learning_simple_crossroad
Implementation of a simple crossroad environment and tabular Q-learning
Simple_MOT
A simple implemenation of Multi object tracking. The detection assignment is done choseing the nearest neighbour to an existing path. Predictions are done using a simple motion model.
MaxPRon's Repositories
MaxPRon/DQN-for-lane-change-in-highway-scenarios
Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving
MaxPRon/DQN_lane_change
Implemenation of DQN for lane changes
MaxPRon/CE_lane_change
Continous Environment for lane change
MaxPRon/Arduino-Wireless
Short script to read a real time clock (RTC) using an Arduino Nano. The time is then transmitted via 433Mhz communication using sender/receiver modules.
MaxPRon/DQN_distance_keeping
Implemenation of a distance keeping scenario and DQN
MaxPRon/Basics-of-Machine-Learning
Exercises related to the Google Machine Learning Crash Course
MaxPRon/fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
MaxPRon/I2DL-Lecture
Exercises and tutorials from the TUM lecture Introduction to Deep Learning by Professor Dai and team
MaxPRon/maxronecker.github.io
MaxPRon/Q_learning_simple_crossroad
Implementation of a simple crossroad environment and tabular Q-learning
MaxPRon/Simple_MOT
A simple implemenation of Multi object tracking. The detection assignment is done choseing the nearest neighbour to an existing path. Predictions are done using a simple motion model.
MaxPRon/images
MaxPRon/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
MaxPRon/PointTransformerV3
[CVPR 2024] Official project repository of Point Transformer V3 (PTv3)
MaxPRon/Pytorch-UNet-for-Dynamic-Grids
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
MaxPRon/ros2_to_kitti
A python script used to transform point cloud data from ros2 rosbags into the kitti point cloud format.