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Lyft 3D Object Detection for Autonomous Vehicles

Posted September 17, 2019

Self-driving technology presents a rare opportunity to improve the quality of life in many of our communities. Avoidable collisions, single-occupant commuters, and vehicle emissions are choking cities, while infrastructure strains under rapid urban growth.

Autonomous vehicles are expected to redefine transportation and unlock a myriad of societal, environmental, and economic benefits. You can apply your data analysis skills in this competition to advance the state of self-driving technology.

Image credit: Grendelkhan/Wikipedia/CC BY-SA 4.0

Lyft, whose mission is to improve people’s lives with the world’s best transportation, is investing in the future of self-driving vehicles. Level 5, their self-driving division, is working on a fleet of autonomous vehicles, and currently has a team of 450+ across Palo Alto, London, and Munich working to build a leading self-driving system. Their goal is to democratize access to self-driving technology for hundreds of millions of Lyft passengers.

In this competition, you will build and optimize algorithms based on a large-scale dataset. This dataset features the raw sensor camera inputs as perceived by a fleet of multiple, high-end, autonomous vehicles in a restricted geographic area.

Submission to this Challenge must be received by 11:59 PM UTC November 5, 2019.

Source: Kaggle

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