Researchers at Stanford have developed a method for instructing the steering system of an autonomous vehicle to perform a lateral steering action, e.g., when changing lanes or repositioning within a lane.
Researchers at Stanford have advanced the concept of an "Anticipatory Control Interface" that informs the driver of a partially automated vehicle of its lateral trajectory plan.
Stanford researchers at the Camarillo Lab have designed a real-time screening device system for predicting risk of concussion resulting from head impacts.
Stanford researchers at the Salisbury Lab have prototyped a wearable, articulated robotic device that can be attached to a person at the hip or other location to augment human task productivity. This mechanical "third arm" has many uses such as assisting abled users (e.g.
Engineers in Prof. Mark Cutkosky's laboratory have developed patented electrostrictive elements that can support high loads over a long lifetime when used as variable suspension systems for robots, autonomous vehicles or prosthetics.
Researchers in Prof. Hongjie Dai's laboratory have combined graphene with metals and other inorganic elements to create a variety of hybrid materials that can be used for high performance electrocatalytic or electrochemical devices such as batteries and fuel cells.
Researchers in Prof. Hongjie Dai's laboratory have developed nanocarbon/inorganic nanoparticle hybrid materials for various electrocatalytic and electrochemical applications, such as batteries and fuel cells. Three types of hybrid materials have been created:
Although tracking has been studied for decades, real-time tracking algorithms often suffer from low accuracy and poor robustness when confronted with difficult, real-world data.