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Spin to equip its e-scooters with on-vehicle artificial intelligence

Through a partnership with Drover AI, the Ford Motor Company unit will use the technology to detect improper sidewalk riding and parking in cities across the US and UK.

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Spin hopes the technology will help to build trust with consumers and cities
Spin hopes the technology will help to build trust with consumers and cities

Spin, the micro-mobility unit of Ford Motor Company, is partnering with Drover AI to incorporate its PathPilot technology into its next-generation Insight e-scooter monitoring platform.

 

The technology will be rolled out to cities in the US and across the UK and other regions around the world in 2021. New York City could be the first to receive a large-scale deployment.

 

Machine learning

 

Drover AI specialises in advanced AI-based Internet of Things (IoT) solutions for last-mile transportation. Its PathPilot platform uses machine learning and computer vision to detect improper sidewalk riding and parking of e-scooters with an expected accuracy rate of better than 95 per cent, claims the companies.

 

Spin Insight Level 2, powered by Drover AI’s technology, will equip Spin’s vehicles with a camera, an array of sensors, and on-board computing power. The technology claims to be highly adaptive and easily scaled to new environments, allowing an e-scooter to understand its surroundings in real-time and assist riders in making safe riding decisions.

 

In a statement, Spin said that it has included Spin Insight Level 2 in a proposal for the first time as part of the e-scooter permit application for New York City. If Spin is awarded a permit in New York City, the city will receive the first large-scale deployment of Spin’s sidewalk riding and improper parking solution, starting in the Spring.

The technology allows an e-scooter to understand its surroundings in real-time
The technology allows an e-scooter to understand its surroundings in real-time

“This is Spin’s latest step in building trust in e-scooters among consumers and cities by enabling technology that creates a safer riding experience for riders and pedestrians,” said Derrick Ko, chief executive officer at Spin.

 

He continued: “With nearly all municipalities prohibiting scooter use on sidewalks, Spin Insight data – in combination with Spin’s in-app mapping technology that enables riders to find routes that maximise bike lane use – can be used as a key tool by cities to help enforce local regulations and promote safe riding behaviours in dense, urban environments like New York City.”

“This is Spin’s latest step in building trust in e-scooters among consumers and cities by enabling technology that creates a safer riding experience for riders and pedestrians”

Additionally, the technology will enable Spin to share accurate insights with cities about the prevalence and location of sidewalk riding and bike lane riding, which can be used to identify potential congestion issues and road damage and highlight areas that may benefit from infrastructure improvements.

 

Spin explained that, akin to advanced driver assistance systems (ADAS) that use on-board sensors to help automobile drivers park, brake, and stay in their lanes, Spin Insight Level 2 has the ability to combine the latest in sensor and artificial intelligence technologies to enable local regulation compliance enforcement and create a safer experience for riders and pedestrians.

 

Ko added: “We are building the ADAS for micro-mobility. Spin Insight Level 2 is designed to create a safer riding experience, with the potential to unlock everything from slowing speeds on sidewalks to forward-collision warnings.”

 

Christian Scheder, co-founder and chief executive officer at Drover AI, said that Drover’s use of edge-based machine learning produces a nimble and scalable solution “that doesn’t depend on availability of GPS, ground truth information or network-based validations”.

 

Spin will continue to build off of this technology and its Spin Insight platform to further enhance vehicle durability and safety. Future capabilities are planned to include ADAS-like features such as detecting wrong-way riding, adjusting vehicle speed based on riding conditions, and collision warnings.

 

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