Autonomous Vehicles
AI is crucial in the autonomous vehicle landscape, providing computational power to process vast sensor data, enabling vehicles to navigate safely.
At Tyrian Purple, we support this by offering services that enhance machine perception, decision-making, and predictive maintenance.
We collaborate with clients to develop tailored AI solutions for the autonomous vehicle industry, focusing on data annotation, sensor fusion, and simulation.
This helps refine machine learning models, ensuring safer and more efficient autonomous driving experiences.
This involves integrating data from various sensors like LIDAR and cameras to reduce uncertainties in navigation and perception for autonomous vehicles.
It is the process of labeling every pixel in an image to classify both objects (instances) and all areas (stuff), providing a comprehensive understanding of the scene.
The service includes processing LIDAR data to create high-resolution 3D maps that autonomous vehicles use to navigate and understand their environment.
This is the practice of drawing rectangles around objects in images to help machine learning models recognize and locate those objects.
Experts plot points on the edges of objects to create polygon shapes that are more precise than bounding boxes, especially for irregularly shaped objects.
This is where images are broken down into their constituent parts at the pixel level, and each pixel is labeled to identify objects and understand the scene comprehensively.
It involves tracking objects across a sequence of frames, which is critical for understanding and predicting the movement of other vehicles and pedestrians.