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Deploying a Machine-Learned Planner for Autonomous Vehicles in San Francisco
Deploying a Machine-Learned Planner for Autonomous Vehicles in San Francisco
By Moritz Niendorf, Senior Engineering Manager; and Alan Agon, Product Manager
Woven Planet Level 5
Nov 4, 2021
Improving Machine Learning Models for Autonomous Vehicles
Improving Machine Learning Models for Autonomous Vehicles
In any machine learning project, examining and improving models is critical to achieving a goal. Here’s how we do it at Level 5.
Woven Planet Level 5
Jan 26, 2022
Navigating San Francisco in Full Autonomy
Navigating San Francisco in Full Autonomy
Nearly a year ago, Level 5’s autonomous vehicles (AVs) drove our first autonomous miles in San Francisco. We were excited to discover that…
Woven Planet Level 5
Jun 24, 2021
How to Build a Motion Prediction Model for Autonomous Vehicles
How to Build a Motion Prediction Model for Autonomous Vehicles
An introduction and tutorial for training machine learning motion prediction models using Lyft Level 5’s Prediction Dataset
Woven Planet Level 5
Sep 23, 2020
The Next Frontier in Self-Driving: Using Machine Learning to Solve Motion Planning
The Next Frontier in Self-Driving: Using Machine Learning to Solve Motion Planning
By Peter Ondruska, Head of AV Research and Sammy Omari, Head of Motion Planning, Prediction, and Software Controls
Woven Planet Level 5
Sep 16, 2020
Accelerating Autonomous Driving with Lyft’s Ridesharing Data
Accelerating Autonomous Driving with Lyft’s Ridesharing Data
By Peter Ondruska, Head of AV Research; Luca Del Pero, Engineering Manager; and Hugo Grimmett, Level 5 Product Manager
Woven Planet Level 5
Jun 23, 2020
Continued Momentum Through Simulation
Continued Momentum Through Simulation
By: Robert Morgan, Director of Engineering and Sameer Qureshi, Director of Product Management
Woven Planet Level 5
Jun 30, 2020
Generalization in Autonomous Vehicle Development
Generalization in Autonomous Vehicle Development
By: Emil Praun, Principal Engineer and Michael Benisch, Engineering Director
Woven Planet Level 5
Feb 6, 2020
Leveraging Early Sensor Fusion for Safer Autonomous Vehicles
Leveraging Early Sensor Fusion for Safer Autonomous Vehicles
By: Interns Eric Vincent¹ and Kanaad Parvate², with support from Andrew Zhong, Lars Schnyder, Kiril Vidimce, Lei Zhang, and Ashesh Jain…
Woven Planet Level 5
Dec 5, 2019
Designing the Decision-making Center of an Autonomous Vehicle
Designing the Decision-making Center of an Autonomous Vehicle
By: Alan Agon, Product Manager; Sammy Omari, Engineering Manager; and Sameer Qureshi, Director, Product Management
Woven Planet Level 5
Dec 11, 2019
High-Fidelity Sensor Calibration for Autonomous Vehicles
High-Fidelity Sensor Calibration for Autonomous Vehicles
By Ashesh Jain and Lei Zhang, Engineering Managers; and Li Jiang, Software Engineer
Woven Planet Level 5
Aug 14, 2019
Semantic Maps for Autonomous Vehicles
Semantic Maps for Autonomous Vehicles
By Kris Efland and Holger Rapp, Engineering Managers, Lyft Level 5
Woven Planet Level 5
May 1, 2019
Rethinking Maps for Self-Driving
Rethinking Maps for Self-Driving
Maps are a key component to building self-driving technology, and autonomous vehicles require a new class of high-definition maps.
Woven Planet Level 5
Oct 15, 2018
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