A vision for smarter, safer autonomous vehicles

MSU's CANVAS—Connected and Autonomous Networked Vehicles for Active Safety—is at the forefront of technology that promises solutions and benefits to real-life driving problems, including preventing accidents and improving traffic flow.

"CANVAS is the centerpiece of an overarching multi-disciplinary mobility effort at MSU that also includes smart infrastructure and mobility management," says John Verboncoeur, associate dean for research in the College of Engineering. "The goal is to improve mobility safety and efficiency."

For autonomous vehicles to become a reality on the roads requires technology that best detects and communicates impending challenges such as ice, snow or a pedestrian crossing into a vehicle's path.

CANVAS director Hayder Radha is helping MSU lead in this space, with an eye toward a more connected future in which vehicles communicate in real time with other vehicles, their physical environment and their passengers.

"Much of our work focuses on technology that integrates the vehicle with its environment," says Radha, professor of electrical and computer engineering. "In particular, MSU is a recognized leader in computer vision, radars and antenna design, high-assurance computing and related technologies, all areas that are at the core of self-driving vehicles."

The Spartan autonomous research vehicle, currently on public display at the North American International Auto Show in Detroit, is an important part of MSU's work. The hybrid car is equipped with cameras, radar and lidar—the laser version of radar—to create "high-tech eyes," integrated sensors that see more than human eyes.

Sensing Obstacles

CANVAS researchers are focusing on a complex set of research problems by looking beyond the anticipated capabilities of early or 'entry level' autonomous vehicles that were not equipped to deal with challenges such as freezing temperatures.

"Having snow on the ground is certainly a challenge; however, when you have near-blizzard conditions with extremely low temperatures, then virtually all of the state-of-the-art sensors and perception algorithms cease to operate adequately," explains Radha. "We are trying to address these rather unique challenges while keeping close communication and collaboration with our automotive industry partners."

MSU's strong track record of industry partnerships and funding for auto research helps position it for success, and its proximity to Detroit, the nation's car capital, as well as Michigan's diverse climate conditions, make it an ideal automotive research environment.

Daniel Kent, a graduate student in the College of Engineering, was drawn to MSU because of CANVAS. His work focuses on sensor fusion, correlating sensors for a more effective collective impact.

"You can't get all of the information from a camera in all conditions," says Kent. "Radar works in more inclement conditions, like rain, fog or snow. Lidar, with the right maps, can be accurate to the centimeter. New developments from sensors are coming all the time."

For example, lidar technology has the ability to develop a 3-D map of the area in which a car is driving for improved maneuverability, as well as to develop advanced algorithms that will assist in navigating a particular environment, such as Michigan's winter road conditions. Radar, on the other hand, quickly can detect a variety of objects that are moving or are stationary in the vicinity of the car or at longer distances under various weather conditions, including fog and snow, by using high-frequency signals.

Staying Connected