We talked with smart cities expert Jonathan Reichental about how autonomous vehicles, drones, and efficient waste and energy manangemnt will be the future of urban development.
There is no room for error regarding the machine learning models that drive autonomous vehicles (AV). Applying AI to AV improves their predictability and reliability, will reduce fatalities and commute times, improve our environment, and give transportation freedom to the elderly. AI is disrupting every part of the transportation industry, including personal vehicles, ride-sharing and taxis, delivery, and long-haul trucking. As a result, high-quality LiDAR, image, and video annotation is critical when preparing the massive amount of complex training data needed to train AV algorithms.
Luminar Technologies specializes in LiDAR perception and is an emerging leader in the AV space. They set an ambitious goal of developing the most advanced long-range perception solution on the market. Luminar Technologies partnered with CloudFactory to train their model for increased reaction time and improved safety for the autonomous vehicle system as a whole.
Our collaboration with CloudFactory was instrumental in bringing to market our new product, Hydra. This advanced version of our platform now includes a combination of hardware and software capabilities that dramatically increases our perception of on-road driving scenarios, something completely new to the industry.
Our managed teams have served hundreds of clients across use cases that range from simple to complex.
Our proven processes deliver quality data quickly and are designed to scale and change along with your needs.
Flexible contract terms and pricing help you to get started quickly and to scale up and down as needed with no lock-in.