Lucas Raimundo's Projects
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Γrvores de decisΓ£o
Direct Yaw Control - Development
"Send" Files for Estability Maneuvers simulation
Algorithm to compute the speed profile and required power in a specific trajectory.
C++ codes to LIDAR simulations
Machine Learning Reimplemented
Sensor Fusion Nano Degree Final Camera-Lidar Project. The project calculates the time to the collision to the vehicle ahead based on both Lidar and Camera data. To achieve it, yolo machine learning framework and lidar point cloud clustering are performed, as well as key points feature detection and description.
2D feature tracking with OpenCV.
Lidar project for obstacle detection using PointCloud library.
Project for tracking a vehicle through radar. Fast Fourier Transform and Convolution are implemented to acquire the Doppler velocity and range estimations
Unscented Kalman Filter for highway survailance. Tracks position and time for nonlinear motion.
π₯ TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
This is my Sensor Fusion projects with Udacity ND.
My work from the Udacity Sensor Fusion Nanodegree Program
Series of codes related to control systems applied to automotive engineering.
Tracking a target vehicle through traffic using real highway data sets.