Machine Learning for Robotics & Autonomous Vehicles
Accelerate your machine learning cycle for autonomous vehicles, last mile delivery robots, and robotics.
Machine Learning for Autonomous Vehicles, Last Mile Delivery, & Robots
Power your self-driving, last mile delivery, or robotics machine learning models with the Database for AI. Analyze multimodal datasets. Deploy pipelines to process insights from videos, point cloud data from sonar, LiDAR, & radar data
Lane detection for self-driving cars
Successfully detect lane boundaries and the autonomous vehicle position within them, so your vehicles can drive safely
Street sign detection
Teach your autonomous vehicle how to distinguish road signs and traffic lights to prevent road accidents
Last-mile delivery robots
Help the tiny robots classify objects like sidewalks, pedestrians, and bikes, as well as react to their movement
Sort your garbage faster with a robot who can sort metals, plastic, pizza boxes or handle care of the construction waste
Drones & military robotics
Embed computer vision models to inform the behavior of rescue robots, or machines taught to detect & destruct mines
Product assembly & manufacturing
Help your robots learn how to recognize, assemble, and interact with objects with computer vision
Teach your robots to stock the shelves, identify, retrieve boxes, and safely navigate around the warehouse for superb invetory maintenance
Use computer vision to excel at quality assurance, monitoring defects big (adherence to packaging standards) or small (e.g. cracks in the glass you're producing)
Machine Learning Datasets for Self-Driving Cars & Robots
Don't have proprietary data? Get a head start by using one of the public machine learning datasets for autonomous vehicles or last-mile delivery robots available through Activeloop for tasks like lane detection, traffic sign detection, as well as warehouse logistics
- Explore robotics & autonomous
vehicle datasets ...
- ... to drive safely on the streets ...
- ... or navigate around the
warehouse & stock shelves!
Robotics & autonomous cars are driving change in manufacturing & transportation. Put the pedal to the metal with Activeloop
Computer vision enables new advances in robotics & self-driving cars, using LiDAR, radar, & camera data
In the autonomous vehicle space, this is useful for a large variety of tasks, including lane detection, street sign detection, or classification of objects such as people walking in the street, other cars, or distinguishing roads from sidewalks. As for robotics, computer vision helps your machines see. Teach your robots how to recognize recyclable garbage, boxes in the warehouse, or defects on the assembly line.
With Activeloop, machine learning teams working on robotics & self-driving solutions are able to do sensor fusion - or combine data from the LiDAR, radar, and cameras. Moreover, data science teams can collaborate on curating their datasets by visualizing select slices with our powerful query engine. Lastly, teams can stream their materialized data to their machine learning models, while training them at scale.