Ride Hailing transportation company Lyft’s efforts in ensuring that self-driving vehicles get center stage by 2024 have taken a fresh development. The self-driving technology which they believe will solve problems like avoidable collisions, single-occupant commuters, and vehicle emissions that are choking the environment is already in clear sight.

Using the self-driving technology, they foresee an offer of a viable alternative to car ownership and a safe way to combat negative changes in the ecosystem brought about by car emissions.

“Not only can self-driving tech save two lives every single minute, it is essential to combat climate change by allowing people to ditch their cars for shared electric transportation. Lyft is committed to leading this transportation revolution” Logan Green, the Company CEO said in a statement.

The Company went ahead to release the Level 5 Dataset which is the largest publicly released dataset of its kind. It includes over 55,000 human-labeled 3D annotated frames, a drivable surface map, and an underlying HD spatial semantic map to contextualize the data.

This dataset allows a broad cross-section of researchers to contribute meaningfully to downstream research in self-driving technology. A self-driving car is a vehicle that is capable of sensing its environment and moving safely with little or no human input.

It combines a variety of sensors to perceive its surroundings, such as radar, lidar, sonar, GPS, odometry and inertial measurement units. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage.

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