Lane centering

[15] A handful of companies like Bosch, Delphi, ZF and Mobileye provide sensors, control units, or algorithms to car makers, who then integrate and refine those systems.

Examples of image processing techniques used include the Hough transform, Canny edge detector, Gabor filter and deep learning.

Mobileye claimed in 2018 that 11 automakers would incorporate their EyeQ4 chip that enables L2+ and L3 autonomous systems; this would collectively represent more than 50% of the auto industry.

[28] In the United States, in 2018, lane centering systems are not covered by any Federal Motor Vehicle Safety Standards, according to the NHTSA.

Current international regulations require assistance systems to monitor that the driver keeps their hands on the steering wheel, with escalating warnings and eventual disengagement if they fail to do so.

[32] Because all of these vehicles also have adaptive cruise control that can work in tandem with lane centering, they meet the SAE standard for level 2 automation.

[33] Nissan ProPilot is based on Mobileye technology[135] and assists with acceleration, steering and braking input under single lane highway driving conditions.

A traffic sign recognition system provides drivers with the most recent speed limit information detected by a camera on the windshield, in front of the rear-view mirror.

The Honda Sensing and AcuraWatch packages also include: Quote from David Zuby, chief research officer at the American Insurance Institute for Highway Safety:[145] We're not ready to say yet which company has the safest implementation of Level 2 driver assistance, but it's important to note that none of these vehicles is capable of driving safely on its own...The report indicated that only the Tesla Model 3 stayed within the lane on all 18 trials.