MG Outlines Parking, Highway NOA and Robotaxi Plans

MG has laid out a roadmap for automated parking, highway driving assistance and Level 4 robotaxi testing, with Navigate On Autopilot arriving in a new SUV in late 2027.

MG will bring Navigate On Autopilot (NOA), its first highway driving assistance system, to a new SUV in late 2027, part of a broader ADAS roadmap that also advances automated parking and Level 4 robotaxi testing. The roadmap, detailed at MG Tech Day in London this week, is built on more than 745,000 miles (1.2 million kilometers) of real-world driving data MG has collected across 24 European countries. Next-generation automated parking, based on the company’s One Touch iAD system first introduced on MG’s premium segment IM models, is now production-ready, MG said. Level 4 Robotaxi trials are already underway in Germany, the Middle East and China, though MG says it is too early to confirm when the technology might reach production vehicles.

Highlights

  • Navigate On Autopilot (NOA) debuts in a new MG SUV in late 2027, assisting with highway entry/exit, lane selection, lane changes and overtaking under driver supervision
  • Next-generation automated parking, covering more than 30 scenarios and 300+ parking space types, is now production-ready, according to MG
  • MG has collected more than 745,000 miles (1.2 million km) of real-world driving data across 24 European countries to train its ADAS systems
  • Level 4 Robotaxi trials are underway in Germany, the Middle East and China; Urban NOA is not expected before 2028

Automated Parking Reaches Production Readiness

A key pillar of MG’s ADAS strategy is One Touch iAD parking assistance, first introduced on MG’s premium segment IM models. The system supports more than 30 complex parking scenarios and more than 300 parking space types, including unmarked bays, MG says.

The current system covers four scenarios: One Touch Park, which detects suitable spaces at low speed and maneuvers the vehicle in automatically; One Touch Curbside Parking, which supports parking alongside a curb or wall; One Touch Pull Out, which adjusts the exit angle when the vehicle is boxed in; and One Touch Reverse, which records the vehicle’s path for up to 328 feet (100 meters) and enables automatic reversing along the same trajectory with obstacle detection.

MG says the system was designed around everyday frustrations for UK and European drivers — narrow bays, tight access roads, frequent parallel and curbside parking, and interactions with pedestrians or cyclists. The company is already developing head-in parking, remote straight-line control, remote parking assistance and parking-position preference for smartphone control, according to MG.

Highway NOA Set for Late 2027

MG Pilot, the automaker’s existing driver-assistance suite, will be followed by Navigate On Autopilot (NOA), scheduled to launch in a new MG SUV in late 2027. NOA is designed for highway driving, where lane markings, traffic flow and entry and exit points are more predictable than on urban roads, MG says. With driver supervision, the system is intended to assist with entering and exiting highways, lane selection, lane changes and overtaking.

MG is developing highway NOA first because motorway environments are more predictable than city and local roads, according to the company. Urban NOA — which must account for intersections, traffic lights, pedestrian crossings and cyclists — requires further development and is not expected before 2028.

Level 4 Robotaxi Trials Underway

MG is conducting Level 4 Robotaxi trials in Germany, the Middle East and China as part of its longer-term autonomous driving research, the company said. Level 4 vehicles are capable of operating without driver input within defined operational areas. MG says it continues to test and validate the technology but that it is too early to confirm when it might reach production vehicles.

Self Drive News
Self Drive News Staff

Self Drive News is the trade publication of record for vehicle autonomy. Published by Hagman Media and edited by founder Brian Hagman, it covers autonomous vehicles, robotaxis, ADAS, self-driving software and hardware, and L4 commercial deployments for an audience of AV engineers, software safety professionals, and mobility investors.