About the HDMP Workshop

Unmanned Ground Vehicles (UGVs) have reached a crossroads: vehicles possessing a significant level of autonomy have been demonstrated yet those vehicles still cannot be safely and reliably utilized in populated environments.  At the same time, the automotive industry is under increasing pressure to reduce the number of accident related fatalities and has embarked upon research to develop technical solutions including intelligent driver warning systems. Hence, human detection has attracted many researchers for over a decade.

The ability to accurately detect,  track, and project the future trajectory of people represents a major barrier to the large scale employment of UGVs for both civil and military applications. The nature of these applications requires both very high true pedestrian detection rate and very low false detection rate. Moreover, many practical aspects of the problem must also be addressed -- such as real-time performance constraints. Solving this problem is critically important in both military and civilian applications.

Computer vision and robotics researchers are invited to submit original contributions in the following -- but not limited to  -- areas: