3 accepted papers
Multi-segment pneumatic soft manipulators are highly valued for their predominated characteristics in safety and dexterity. However, achieving precise position control in the presence of obstacles remains challenging, particularly when targets are close to the obstacle. Model predictive control (MPC
Semantic scene understanding using thermal images has received great attention due to the advantage that thermal imaging cameras could see in challenging illumination conditions. However, thermal images are lack of color information and the edges in thermal images are often blurred, making them not
Segmentation of road obstacles, including negative and positive obstacles, is critical to the safe navigation of autonomous vehicles. Recent methods have witnessed an increasing interest in using multi-modal data fusion (e.g., RGB and depth/disparity images). Although improved segmentation accuracy