3 accepted papers
This letter presents <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LaneMatch,</i> a localization method for use in autonomous vehicles (AVs). It utilizes lane matching to obtain an AV’s lane occupancy and current pose estimation. Matching is perfor
We present a systematic approach called Extended VINS-Mono to utilize VINS-Mono, a state-of-the-art monocular visual-inertial relative localization method, targeting practical vehicle localization in large-scale outdoor road environments. Our proposed fusion approach associates multiple independent…
A precise and efficient tracking technique is essential for an intelligent vehicle to interact with the surrounding vehicles on the road. In this paper, we propose a model-based vehicle tracking method using the Rao-Blackwellized particle filter (RBPF) and scaling series particle filter (SSPF).