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Lane centering
Mechanism designed to keep a car centered in the lane From Wikipedia, the free encyclopedia
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In road-transport terminology, lane centering, also known as lane centering assist, lane assist, auto steer or autosteer, is an advanced driver-assistance system that keeps a road vehicle centered in the lane, relieving the driver of the task of steering. Lane centering is similar to lane departure warning and lane keeping assist, but rather than warn the driver or bouncing the car away from the lane edge, it keeps the car centered in the lane.[1][2][3][4] Together with adaptive cruise control (ACC), this feature may allow unassisted driving for some length of time.[5][6][7] It is also part of automated lane keeping systems.
Starting in 2019, semi-trailer trucks have also been fitted with this technology.[8][9]
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Comparison with other systems
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Lane centering keeps the vehicle centered in the lane and almost always comes with steering assist to help the vehicle take gentle turns at highway speeds.[10] Lane departure warning generates a warning when the vehicle crosses a line, while lane keeping assist helps the vehicle to avoid crossing a line, standardized in ISO 11270:2014.[11]
In farming, "machine autosteer" is a technology that makes automated steering and positioning of a machine in a landscape.[12]
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History
The first commercially available lane centering systems were based on off-the-shelf systems created by Mobileye, such as Tesla Autopilot and Nissan ProPilot,[14] although Tesla switched to an in-house design when Mobileye ended their partnership.[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.[16]
While not directly attributable to lane centering, crash rates on the Tesla Model S and Model X equipped with the Mobileye system were reduced by almost 40% while Tesla Autopilot was in use.[17][18][19]
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Operation
The lane detection system used by the lane departure warning system uses image processing techniques to detect lane lines from real-time camera images fed from cameras mounted on the automobile. Examples of image processing techniques used include the Hough transform, Canny edge detector, Gabor filter, and deep learning. A basic flowchart of how a lane detection algorithm works to produce lane departure warnings is shown in the figures.
Limitations
Features that differentiate systems include how well they perform on turns, speed limitations, and whether the system resumes from a stop.[20][21]
Current lane centering systems rely on visible lane markings. They typically cannot decipher faded, missing, incorrect, or overlapping lane markings. Markings covered in snow or obsolete lane markings left visible can affect the accuracy of the system.[22]
GM's Super Cruise only works on known freeways that have been previously mapped,[23] as it uses a combination of these maps and a precise GNSS position provided by Trimble's RTX GNSS correction service to determine if Super Cruise can be enabled or not.[23] Most vehicles require the driver's hands to remain on the wheel, but GM's Super Cruise monitors the driver's eyes to ensure human attention to the road,[24] and thus allows hands-free driving.
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2018 Mobileye EyeQ4
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.[25] Level 2 automation is also known as "hands off": this system takes complete control of the vehicle (accelerating, braking, and steering). Level 3 is also known as "eyes off": the driver can safely turn their attention away from driving, e.g. the driver can text or watch a movie.[26]
In 2018, the average selling price for the EyeQ4 chip to automakers was about $450 U.S. dollars.[27]
Nissan uses the EyeQ4 chip for their hands-off ProPilot 2.0 system.[28]
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Regulations
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In the United States, in 2018, lane centering systems are not covered by any Federal Motor Vehicle Safety Standards, according to the NHTSA.[29]
Territories such as the European Union, Japan, Russia, Turkey, Egypt, and the United Kingdom follow UNECE 79 regulation.[30] In those territories following UNECE 79 regulation, automatically commanded steering functions are classified in several categories, for instance:
- Category A function helps the driver at speed no greater than 10 km/h for parking maneuvering;
- Category B1 function helps the driver to keep the vehicle within the chosen lane;
- Category B2 function "keeps the vehicle within its lane by influencing the lateral movement of the vehicle for extended periods without further driver command/confirmation";
- Category C, D, and E are related to specific manoeuvres such as lane change[31]
While all those functions are related to automated steering, lane centering is a concept close to the concept related to category B2, while LKA is closer to category B1.
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. In North America, some manufacturers have "hands-off" systems that instead monitor whether the driver is paying attention to the road ahead.[32]
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Examples of level 2 automated cars
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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. Adaptive cruise control and lane centering are often only available in more expensive trim levels rather than just the base trim. An example is the Hyundai Kona EV, which only has adaptive cruise control available on the "ultimate" edition.[33]
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Nissan ProPilot
Nissan ProPilot is based on Mobileye technology[135] and assists with acceleration, steering and braking input under single lane highway driving conditions.[136] ProPilot keeps the car centered in the lane and will deactivate below 31 mph if not tracking a vehicle in front of it.[104] Adaptive cruise control handles stop-and-go traffic if stopped for less than 4 seconds[137] and helps maintain a set vehicle speed and maintain a safe distance between the vehicle ahead. ProPilot, which can follow curves,[138] uses a forward-facing camera, forward-facing radar and other sensors. 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.
In a review by ExtremeTech, ProPilot worked well in 1,000 miles of testing, and only on some twisty sections did it require driver intervention.[139] During Euro NCAP 2018 testing, ProPilot failed some tests as did all other systems tested.[140][141] Consumer Reports indicates that ProPilot is especially helpful in stop and go traffic.[142]
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Honda Sensing/AcuraWatch
Honda Sensing and AcuraWatch are a suite of advanced driver assistance features, including Lane Keeping Assist System (LKAS), which helps keep the vehicle centered in a lane by applying mild steering torque if the vehicle is deviating from the center of a detected lane with no turn-signal activation by the driver.[143][144] The Lane Keeping Assist System (LKAS) does not work at speeds below 45 mph (72 km/h). However, certain vehicles equipped with Traffic Jam Assist (TJA) will have the system take over the lane-keeping task when the speed falls below 45 mph (72 km/h) until a stop. It will automatically switch to Lane Keeping Assist System (LKAS) when the speed exceeds 45 mph (72 km/h).
The Honda Sensing and AcuraWatch packages also include:
- Adaptive cruise control with Low-Speed Follow[143][144]
- Traffic-sign recognition
- Auto high beam
- Blind Spot Information System
2018 evaluation by IIHS
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.
Quote from the report:
The evidence for safety benefits of active lane-keeping systems isn't as pronounced as for ACC. Still, the potential to prevent crashes and save lives is large. IIHS research shows that preventing lane-departure crashes could save nearly 8,000 lives in a typical year...
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See also
References
External links
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