By Alborz Alavian, Senior Software Engineer; Wentian Cui, Senior Software Engineer; and Linda Wang, Software Engineer The challenge with current model evaluation In any machine learning (ML) project, examining and improving models is critical to achieving a goal. At Level 5, part of Woven Planet, our goal is safe autonomous driving. This is one of the…

By Moritz Niendorf, Senior Engineering Manager; and Alan Agon, Product Manager At Level 5, part of Woven Planet, we believe our machine learning-first approach to motion planning for autonomous vehicles (AVs) will chart the course for the future of self-driving technology. …

By Luc Vincent, President, Level 5 We’re thrilled to announce we’ve officially joined the Woven Planet family. Woven Planet is a software-first subsidiary of Toyota Motor Corporation, and their vision is to create mobility of people, goods, and information that everyone can enjoy and trust. …

Nearly a year ago, Level 5’s autonomous vehicles (AVs) drove our first autonomous miles in San Francisco. We were excited to discover that the stack we built for Palo Alto generalizes well to new environments, tackling dense city traffic, lane changes, U-turns, and merges without any specific tuning. Since then…

By Robert Morgan, Engineering Director and Mason Lee, Technical Program Manager To build an autonomous vehicle (AV), we need to be able to safely and efficiently modify and test its software and hardware stacks. While on-road testing may seem like an effective way to do this, it’s simply unrealistic. …

An introduction and tutorial for training machine learning motion prediction models using Lyft Level 5’s Prediction Dataset — By Luca Bergamini, Software Engineer; Vladimir Iglovikov, Software Engineer; Filip Hlasek, Engineering Manager; and Peter Ondruska, Head of Level 5 Research Predicting the behavior of traffic agents around an autonomous vehicle (AV) is one of the key unsolved challenges in reaching full self-driving autonomy. With our Prediction Dataset and…

By Peter Ondruska, Head of AV Research and Sammy Omari, Head of Motion Planning, Prediction, and Software Controls Over the last few years, machine learning has become a core part of self-driving development. It has unlocked significant progress in perception, but it remains limited in its use across the rest…

By: Robert Morgan, Director of Engineering and Sameer Qureshi, Director of Product Management We’re excited to announce that our autonomous vehicles (AVs) are back on the road — and that during the shelter in place we continued to make progress by doubling down on simulation. …

By: Sacha Arnoud, Senior Director of Engineering and Peter Ondruska, Head of AV Research Given how important and complex self-driving is, we at Lyft deeply care about creating an environment where teams can join forces. To accelerate development and hear from diverse perspectives, we’re collaborating with many stakeholders across the…