Nio’s NOP+ completes coverage of 320,000 km urban mileage, exceeding year-end target
In Shanghai, NOP+ is now available on 99 percent of the city's main roads, while the coverage of all urban roads in the city, including main…
Nio significantly increases NOP+ mileage coverage target
Nio aims to complete the validation of 250,000 kilometers of NOP+ urban pilot routes by the end of the year, more than quadrupling the initial…
Nio to extend NOP+ coverage to urban areas, targets 60,000 km available by Q4
Nio aims to boost NOP+ coverage to 200,000 kilometers of urban roads by the first quarter of 2024.
Nio says its driver assistance software has logged over 500 million km of driving
Nio released NOP in October 2020 and launched the more powerful NOP+ in December 2022 after accumulating a large amount of user mileage data.
Nio’s NOP+ driver assistance software available on Beijing’s ring roads and major highways
NOP+ has achieved full coverage on Beijing's city ring roads, including the 2nd, 3rd, 4th and 5th ring roads, as well as fast roads and…
Nio’s NOP+ driver assistance software comes out of beta, starts accepting subscriptions
With the official release of NOP+, Nio brings a new BEV and occupancy network awareness model and switches to the same technology stack as NAD.
Nio begins allowing all NT 2.0 models to trial NOP+ assisted driving software
The rollout of NOP+ is Nio's preparation for the launch of its subscription-based NAD assisted driving software.
Nio owners fire back, say NOP did not mislead them in joint statement
As Nio enters the spotlight for a fatal ES8 crash, the company's owners have come to its defense.
Entrepreneur died in Nio ES8 crash ‘trusted’ NOP so much he used it for 52% of his July driving miles
The young entrepreneur who died in the crash drove a total of 5,960 kilometers in July and used NOP for 52.2 percent of the miles, according…
What is NOP and why it is suspected of failing to recognize stationary vehicle
All L2 assisted driving functions, including Adaptive Cruise Control, cannot effectively identify stationary vehicles ahead, expert says.