5 accepted papers
This paper develops a new nonlinear filter, called Moment-based Kalman Filter (MKF), using the exact moment propagation method. Existing state estimation methods use linearization techniques or sampling points to compute approximate values of moments. However, moment propagation of probability distr…
Velocity Planning for self-driving vehicles in a complex environment is one of the most challenging tasks. It must satisfy the following three requirements: safety with regards to collisions; respect of the maximum velocity limits defined by the traffic rules; comfort of the passengers. In order to…
This study proposes a visual localization method using a vector map and voxel grid map with a stereo camera. The two maps provide different modality advantages and are integrated using a particle filter. In contrast to other vector map-based methods, our method does not use road markings because cre…
This paper proposes ROS-lite, a robot operating system (ROS) development framework for embedded many- core platforms based on network-on-chip (NoC) technology. Many-core platforms support the high processing capacity and low power consumption requirement of embedded systems. In this study, a self-dr…
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).