englucrai/vehicle_dynamics

Series of codes related to control systems applied to automotive engineering.

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englucrai/SFND_Radar_Project

Project for tracking a vehicle through radar. Fast Fourier Transform and Convolution are implemented to acquire the Doppler velocity and range estimations

Language: MATLAB - Size: 365 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

englucrai/SFND_feature_tracking

2D feature tracking with OpenCV.

Language: Makefile - Size: 4.3 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

englucrai/SFND_ukf

Unscented Kalman Filter for highway survailance. Tracks position and time for nonlinear motion.

Language: C++ - Size: 91.4 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

englucrai/Estability_Maneuvers

"Send" Files for Estability Maneuvers simulation

Language: Batchfile - Size: 9.12 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

englucrai/vehicle_tracking

Tracking a target vehicle through traffic using real highway data sets.

Size: 29.4 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

englucrai/ai_recom

Language: Jupyter Notebook - Size: 977 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

englucrai/Hackathon_EletricVehicle

Algorithm to compute the speed profile and required power in a specific trajectory.

Language: MATLAB - Size: 90.8 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

englucrai/englucrai

Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

englucrai/decisionTree

Árvores de decisão

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

englucrai/CNN_insectNet

Language: Jupyter Notebook - Size: 9.21 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

englucrai/SFND_Lidar_and_obstacle_detection

Lidar project for obstacle detection using PointCloud library.

Language: Makefile - Size: 189 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

englucrai/dyc_development

Direct Yaw Control - Development

Language: MATLAB - Size: 500 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

englucrai/LIDAR

C++ codes to LIDAR simulations

Language: C++ - Size: 15.6 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

englucrai/mlrei Fork of raphaelcampos/mlrei

Machine Learning Reimplemented

Size: 1.28 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

englucrai/Udacity-SensorFusion-NanoDegree Fork of YoungGer/Udacity-SensorFusion-NanoDegree

This is my Sensor Fusion projects with Udacity ND.

Size: 415 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

englucrai/a-PyTorch-Tutorial-to-Object-Detection Fork of luizbuschetto/a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Size: 172 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

englucrai/SFND_Lidar_Obstacle_Detection Fork of udacity/SFND_Lidar_Obstacle_Detection

Size: 190 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

englucrai/Udacity_Sensor_Fusion_Nanodegree Fork of rayryeng/Udacity_Sensor_Fusion_Nanodegree

My work from the Udacity Sensor Fusion Nanodegree Program

Size: 447 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

englucrai/tensorflow-yolov3 Fork of YunYang1994/tensorflow-yolov3

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

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englucrai/SFND_3D_object_tracking Fork of udacity/SFND_3D_Object_Tracking

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.

Language: C++ - Size: 155 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0