Low-Cost Vehicle Localization for Driving and Mapping

Source Organization:
University:Carnegie Mellon University
Principal Investigator:John M. Dolan
PI Contact
Project Manager:Courtney Ehrlichman
Funding Source(s) and Amounts Provided (by each agency or organization):$80,000
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Start and End Dates:January 2016 - January 2017
Project Status:Active
Subject Categories:In-Vehicle Technologies, Vehicle Automation Technologies
Abstract:Localization is a key component technology for intelligent transportation. Vehicles need to know where they are in order to properly navigate roadways, avoid other traffic, gauge the likelihood of interference with static and dynamic objects in the near future, and determine the position of features in the environment in order to aid in their recognition, classification, and registration. Current production vehicle location systems are based on GPS devices that typically have road-level accuracy (~10 m error), and occasionally far worse accuracy, as in dense urban environments. Research vehicles reduce the typical error to ~10 cm via military-grade GPS (with integrated IMU) costing more than $50K, but are still degraded in urban environments, and are far too expensive for production vehicles. This project aims at the development of a low-cost localization system capable of lane-level accuracy. The resultant system will improve vehicle safety in human-driven, autonomously driven, and V2V scenarios, and is a fundamental building block for production-viable semi-autonomous and autonomous vehicles.
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