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Robotec team will support in applying ROS and ROS2 middleware to develop your robotic applications. We provide expertise and software engineering services to implement systems based on ROS2.
Our team offers expertise in developing LIDARs-based modules for localization, perception and motion planning. We are already working with next generation of solid-state LIDARs.
Robotec supports Partners in developing custom components for your simulation environments including complex AV/ADAS integrations. Our favorite technologies are based on Unity3D but we also work with OSG and Unreal engine. Apart from custom software engineering work we support scene development, multiple vehicle models (including non-standard specialized vehicles) and sensors modelling.
We selected and integrated LIDAR-based sensors setup in a truck. We worked on perception algorithms for obstacles detection using also novel machine-learning methods like point pillars.
Driver distraction detection is one of the most important DMS functions. We provide the expertise to develop distraction detection based on gaze vector calculations and safety critical areas of interest. Our team also work with Partners on distraction ground-truth datasets.
Drowsiness in one of the most challenging driver states to detect due to highly individualized behavioral symptoms. In our work we are going beyond eye closure metrics to support our Partners in developing next level drowsiness detection. We provide services related to the development of ground-truth datasets based on combination of multiple physiological (EEG, ECG) and driving performance measures.
DUI is one of the safety critical states that is expected from the future driver monitoring systems. We offer support in the state detection algorithms development as well as collecting and analyzing ground-truth datasets in laboratory conditions using driving simulators.
Our DMS team is supporting non-standard testing of near infrared (NIR) driver monitoring cameras. We offer standardized testing of NIR systems in multiple challenging lighting conditions (e.g. direct sunlight during sunset, bypassing vehicles with halogen lamps, zenith sunlight). We are analyzing transmittance of your windshield and NIR camera filters to provide a spectrum of scenarios your system is likely to encounter.
Dedicated driving simulator dataset collection campaign for generating ground truth datasets drowsiness detection. Our team applied a combination of eye closure metrics, driving performance and physiological data analysis (ECG and EEG).
We are helping our Partners to use efficient machine-learning solutions to extract relevant data from the environment using combination of cameras and LIDARs sensors. Our primary goal is to enhance safety of current automated vehicles. We are building solutions based on recent deep learning developments to improve detection and tracking of obstacles and detection of drivable path. We love to work with LIDARs point clouds.
Robotec AI team supports our Partners in applying processing at the edge (EdgeAI) and anomaly detection methods to deliver accurate and cost-efficient solutions. We are helping our Partners to develop monitoring for finding security-relevant deviations from expected behavior.
Our team developed proprietary machine learning solution for detecting anomaly behavior in the automotive application processor. Our work included preparation of the full AI pipeline including automated dataset generation and proprietary neural network architecture.
We love our job and exciting tech projects. We are building dedicated teams of passionate experts for our customers to deliver highest quality and smooth communication. We also believe in transparency and work ethics so your technical coordinators will be also well informed about our activities and progress.
Concept of remote work changed due to COVID-19 situation. Our software teams can still work remotely as efficient as before COVID-19 with all remote support required from our Partners. We hope to pay personal visit to all our Partners as soon as epidemiological threat is over.
