NYU Tandon and May Mobility Launch MARS Dataset for Autonomous Vehicle Research

Researchers at NYU Tandon, in collaboration with May Mobility, have released the MARS (MultiAgent, multitraveRSal, and multimodal) dataset, a groundbreaking collection of real-world driving data aimed at advancing autonomous vehicle (AV) technology. 

Lead Principal Investigator, Chen Feng, is an NYU Tandon assistant professor working on computer vision for autonomous vehicles and mobile robots, whose NSF CAREER award funded this project. 

Unlike traditional datasets that capture single-pass data from individual vehicles, MARS provides repeated, multi-vehicle traversal data from a 20-kilometer urban area. This unique dataset supports more realistic modeling and understanding of AV behavior by capturing interactions over time, variable conditions, and collaborative perception among vehicles.

Announced at the CVPR 2024 Conference, the dataset includes over 1.4 million frames of sensor data and is accessible to researchers through May Mobility’s FleetAPI service. This partnership highlights the potential of academia-industry collaboration in tackling real-world challenges in AV research, such as environmental mapping and improved vehicle-to-vehicle perception.

Link to full article here.