Performance evaluation of a vision based lane tracker designed for driver assistance systems

Abstract

Driver assistance systems that monitor driver intent, warn drivers of lane departures, or assist in vehicle guidance are all being actively research and even put into commercial production. It is therefore important to take a critical look at key aspects of these systems, one of which being lane position tracking. In this paper we present an analysis of lane position tracking in the context of driver support systems and examine previous research in this area. Using this analysis we present a lane tracking system designed to work well under a variety of road and environmental conditions. We examine what types of metrics are important for evaluating lane position accuracy for specific overall system objectives. A detailed quantitative evaluation of the system is presented in this paper using a variety of metrics and test conditions.

Original document

The different versions of the original document can be found in:

• http://cvrr.ucsd.edu/publications/pdfs/McCall_Trivedi_IV2005.pdf

• http://cvrr.ucsd.edu/publications/pdfs/mccall_trivedi_iv2005.pdf,

https://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1505094&contentType=Conference+Publications,

https://academic.microsoft.com/#/detail/2118129736

• http://xplorestaging.ieee.org/ielx5/10053/32246/01505094.pdf?arnumber=1505094,

http://dx.doi.org/10.1109/ivs.2005.1505094