Wayve and DPD launch fleet data collection pilot in UK
Wayve, a London-based company specialising in deep learning for autonomous urban mobility, has announced a fleet data collection pilot with parcel delivery firm DPD.
The pair are working together to explore how innovations in computer vision and machine learning can be applied to existing fleet and delivery operations to increase the safety of urban delivery solutions.
“Real world driving data is fundamental to building the core capabilities of Wayve's technology and we have built industry-leading expertise in the collection and utilisation of fleet-scale data,” says Alex Kendall, Wayve CEO (pictured above).
“Working with DPD is an incredible opportunity to accelerate the collection of peta-byte scale datasets that expand our coverage in more areas of the UK and helps us improve the safety and driving intelligence of our technology.”
For the pilot, data collection devices have been deployed on 50 DPD vans in Greater London.
Wayve says that its camera first system, which works off of 4G connectivity, provides a 360-degree surround view of the vehicle with zero impact to the vehicle operator.
“DPD’s delivery fleet drove over a 156 million miles in 2018, covering 96% of the UK road network on average, at least once a month. Working with Wayve, we plan to use this data to improve insurance claim handling for vehicles on the road,” says Max Glaisher, Sr. Product Manager, Innovation at DPD UK.
“We are excited to collaborate with Wayve, an industry leader in AI and machine learning, as we continue to explore the use of cutting-edge technologies to support our insurance and risk teams,” says Andrew Morgan, Insurance & Risk Manager at DPD UK.
“Through this pilot, we aim to learn how advanced vision-based technologies can be applied to enhance the safety of our fleet for drivers, and other road users.”
