ANN ARBOR–Autonomous driving developer May Mobility has launched its third-generation autonomous driving system, which the company described as “another significant step on the path to driverless commercial operations that will improve safety, efficiency and rider satisfaction. Improvements include increased speed, tele-assist capabilities and improved detection accuracy.”
The company said its new autonomy system includes its third-generation computer vision system, next generation pedestrian modeling, and other improvements that allow the vehicle to navigate smoothly through a variety of interactions and situations.
“The fundamental thesis behind May Mobility is to make public transit better than taking a personal car,” said May CEO Edwin Olson. “By improving the quality and scope of our autonomy system and delivering a more efficient service, we can gradually reduce the need for personal car ownership. These strides will further enable MPDM to scale on our path to commercial driverless operations.”
May Mobility’s autonomy stack advancements include:
Next-Gen Pedestrian Modeling—Improved pedestrian modeling that enables the system to make more robust predictions about pedestrian behavior in complex environments. May Mobility’s vehicles can operate more efficiently in downtown environments where dozens of pedestrians move and interact in many different ways, like downtown Ann Arbor. Specifics include the ability to safely navigate through intersections with high pedestrian traffic and smoothly respond to pedestrians who are jaywalking or otherwise violating the rules of the road.
Enhanced Policies for Smoother Rides—Added more lateral—or within-lane—movement policies to its MPDM technology. These additions allow the vehicle to move smoothly through crowded streets, moving slightly to the right or left within the lane to avoid minor impediments. The smooth and subtle movements feel human-like.
Tele-Assist—Rolled out enhanced tele-assist capabilities that help the vehicle through tricky popup situations, such as construction, to make sure riders can get to their destination on time or faster. May Mobility’s approach to tele-assist combines in-the-moment human insight with the company’s MPDM. The vehicle remains autonomous throughout the assistance while the human operator serves to monitor the environment to ensure that the vehicle remains within its designed operating parameters and approves actions that the vehicle proposes to take. Additionally, the May Mobility tele-assist operator can provide hints to the autonomy system that are used to generate alternative routes through a complex situation.
On-Vehicle Traffic Light Detection—Version two of the company’s on-vehicle traffic light detection (OVTL) improves safety with increased precision in challenging lighting conditions such as early morning and late evening. Enhanced vision also detects non-working traffic lights so the vehicle knows to treat them as stops.
May Mobility offers on-demand service in urban, suburban and rural settings. In line with the company’s commitment to providing sustainable transit solutions, the point-to-point transit groups riders heading in the same direction. This reduces travel and wait times, provides customers with a more convenient, personalized service, and transit operators with greater flexibility and efficiency.
May has delivered more than 320,000 autonomy-enabled rides to date in several public transit applications across the United States and Japan. Key partners include Toyota. More information at www.maymobility.com.