Autonomous Vehicles

Autonomous Vehicles, or self-driving vehicles, rely on a multitude of sensors to perceive and interpret various physical parameters, enabling dynamic decision-making for route selection, speed control, and more. Zapidax stands at the forefront of this transformative technology, with a strong emphasis on Artificial Intelligence (AI) and Image Processing.

AI Competencies:

Deep neural network design using the Nvidia Digits platform.

Design of convolutional neural networks (CNNs) based on Caffe.

Implementation of GPU-accelerated processing platforms.

Accelerated algorithm design and testing using MATLAB.

Machine learning for natural language processing, including sentiment understanding and extractions.

Image detection and recognition using CNNs, with applications in Advanced Driver Assistance Systems (ADAS).

Machine learning for RF signal processing and indoor location mapping.

Neural network-based image feature extraction.

Image Processing Competencies:

Zapidax's Transportation team excels in Image Processing, with competencies in image enhancement, pattern recognition, and feature extraction, utilizing tools such as Matlab, LabVIEW, and OpenCV. These competencies are categorized into three main areas:

Template Matching

Neural Network-Based Image Segmentation

Edge-Based Methods

Level Set-Based Segmentation

Region Growing

Image Enhancement:

Intensity-Based Transformations

Statistics-Based Transformations

Geometric Transformations - Inverse

Feature Extraction:

Wavelet Transforms

Hough Transform

Intensity-Based Features

Key Point-Based (SIFT, SURF, Haris)

Zapidax's expertise in AI and Image Processing drives the development of Autonomous Vehicles, ensuring the technology's effectiveness and safety, and contributing to the advancement of self-driving transportation.