Micro-mobility specialist has unveiled a machine learning powered e-scooter. The S90L’s features include lane detection and parking detection. The company has developed all its AI technologies, including intelligent sensors and algorithms, within one integrated platform, the Segway Pilot.

Employing Qualcomm AI combined with Segway’s own developments in computer vision and deep learning, Segway Pilot can autonomously sense elements in an urban setting such as sidewalks, parking slot, and pedestrian density while safeguarding privacy by blurring facial characteristics at the time of image capture. Through visual and voice prompts, the S90L e-scooter provides real-time guidance and assistance to riders to improve safety. Segway Pilot monitors various parking environments for operators and encourages responsible parking behaviour from riders.

“We are proud of Segway Pilot’s capabilities in semi-autonomous driving”, said Yusen Qin, in charge of general management of AI and Robotics R&D of Segway-Ninebot. “AI is accelerating how shared micro-mobility adapts to evolving urban environments and regulatory requirements, and Segway is looking forward to working with partners in delivering innovative solutions through an open platform”.

Alan Zhao, General Manager of Commercial Mobility Business Division, Segway-Ninebot, believes that shared micro-mobility is embarking on another wave of growth in the post-pandemic world. “People around the globe are more conscientious than ever about the need for green transportation, and Segway is well-positioned to help the shared micro-mobility industry meet these new demands”. Earlier this year, Segway celebrated the production of its ten-millionth e-scooter.