We present a novel real-time computer-vision system that robustly discriminates which of the front-row seat occupants is accessing the infotainment controls. The knowledge of who i...
Lane-level positioning and map matching are some of the biggest challenges for navigation systems. Additionally, in safety applications or in those with critical performance requir...
Abstract--The concept of enhanced maps (Emaps) was introduced with one main objective: It should characterize roads, first, with more completeness and, second, with more accuracy t...
This paper presents the TerraMax vision systems used during the 2007 DARPA Urban Challenge. First, a description of the different vision systems is provided, focusing on their hard...
Alberto Broggi, Andrea Cappalunga, Claudio Caraffi...
This paper presents a sensor-fusion framework for video-based navigation. Video-based navigation offers the advantages over existing approaches. With this type of navigation, road ...
Abstract--Automated passenger tracking in public transportation systems can be used to estimate the short-term demand and, thereby, to optimize the fleet schedule in real time. It ...
Christian Oberli, Miguel Torres-Torriti, Dan Landa...
Driver distraction and inattention are prominent causes of automotive collisions. To enable driver-assistance systems to address these problems, we require new sensing approaches t...
This paper investigates the collaboration patterns and research topic trends in the publications of the IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (T-ITS) over the pas...
Visual surveillance is an active research topic in image processing. Transit systems are actively seeking new or improved ways to use technology to deter and respond to accidents, ...
Joshua Candamo, Matthew Shreve, Dmitry B. Goldgof,...
Visualized freehand 3-D ultrasound reconstruction offers to image incremental reconstruction during acquisition and guide users to scan interactively for high-quality volumes. We o...