AI decades driver enhances safety

The driving truck is one of the unpublished backbones of modern civilization. This is also difficult and sometimes dangerous work. But technology is being demonstrated to make the job safe and easier.

A new class of equipment is being targeted in the fleet that helps drivers to reduce accidents by marking risky conditions. New systems use convene neural networks running in vehicle (“Edge” AI) And to fuse the data input from the on-board vehicle diagnostics in the cloud, with the data of the driver and the roadway facing the roadway. The results are systems that in real time, the risk of confrontation and the drivers can warn the drivers on time to avoid most of them.

One of the most advanced in the new systems is from a company called Nouto. Earlier this year, Virginia technical transport institute , Virginia smart rhodes Controlled-access test track where it conducted 2023 benchmark studies evaluating three similar products. VTTI says that this year was tested under the same scenarios similar to distracted driving, rolling stops, tailgating and night driving.

According to Virginia tech researchers, Nauto’s Dashakam performed or better performed in pre -benchmark gadgets in detection – and provided a response that information that information supervisors were more directly translated, can be used to address and correct risky driver behavior. “This study allowed us to evaluate driver monitoring technologies in a controlled, repeated way, so we can clearly measure how (Nauto) system responded to risky behaviors,” Susan SokolichA senior research colleague in VTTI.

MIT Driver attention researcher Brian ReymerThose who were not involved in the study say that the actual value of the system like noto lies is beyond monitoring. “Many companies focus only on surveillance, but monitoring alone is only an environment – the sensor, such as radar or further collision warning in the adaptive cruise control. Real arts lies in support systems that shape the driver’s behavior. This makes NATO unique.”

Reduce cautious fatigue in trucking safety

“One of our primary goals is to issue only alert when corrective action is still possible,” says NATO CEO Stephen HeckJust as important, he says, is a design that means to avoid “alert fatigue”, a famous event where the alerts are triggered when the conditions do not actually call, it would be less suitable for lowering the respondents to call for it. False alerts contain long-stricken driver-antic systems, with the drivers eventually give the most severe warning.

Nauto claims that its alerts are accurate for more than 90 percent, as it combines more than ten distraction and drowsiness indicators. In indicators of inadvertence, the system tracks are shaking head heads or bending, yawning, changes in the rate of blink of eyes, long eyelids closed (some indications called Microslaps), and flowing from the road to the extended period (what happens when people recite and drive). If a pedestrian enters the crosswalk and the driver is waking up, is cautious, and not running very fast, the system will remain silent under the notion that the driver will slow down or stop so that the pedestrians can cross the road without the incident. But if it notices that the driver is scrolling on his phone, it will take an alarm – and perhaps a visual warning will also trigger – to avoid injury in time.

While VTTI did not tested the particularly false-positive rates, it discovered accuracy in several scenarios. Sokolich reports that in class 8 tractor tests, the system issued a 100 percent handheld call, outgoing text, lap usage of a smartphone, and seat belt violations as well as 95 percent of the audio in-cab alerts for rolling stops. To tailgate a lead vehicle, it initially became alert in 50 percent of the tests, but after adjustment, distributed alert in 100 percent cases.

Nauto’s alarm can be triggered not only in the driver’s cabin, but also in the offices of the trucking company fleet supervisors that use the system. But the Nauto structures his alert to prioritize the driver: Warning-for all, but for the most high-risk situations-go to the cab of the trunk, allows self-reform, while supervisors are notified only when the system detects negligence or detects a pattern of lower risk behavior that requires corrective action.

“Many companies focus only on surveillance, but monitoring alone is only an environment – the sensor, such as radar or further collision warning in the adaptive cruise control. Real arts lies in support systems that shape the driver’s behavior. This makes NATO unique.” -Breen Reymer, MIT

The company package its vehicle hardware in a windshield-mounted decasam that plugs into the truck On-board diagnostics portWith direct access to forward and driver-faceing cameras and vehicle data streams, the device reconstructs constant risk. For example, a delivery driver on a phone keeps an eye on a phone, for example, an immediate warning and a notice to supervisors that the driver’s behavior warrant is being called for their negligence on the carpet.

In contrast, a rural stop sign in Don can trigger anything more than a cheerful reminder to come to a complete stop next time. There are more complex cases, such as a driver is also closely following another vehicle. A sunny day, in light traffic, the system can let it go, hold back from issuing a warning about tailgating. But if it starts raining, the system recognizes changes in safe restrictions distance and updates its risk calculation. The driver is said to be that if there is enough space to stop the truck on time on the Rain-Scick Road, the lead car suddenly slams on its brake.

Nauto aims to give drivers three to four seconds, which is clear, is slowly brake or refocus. “Better response does not always bang on brakes,” heck says. “Sometimes Swarving is safe, and no automatic braking system will do this today.”

AI Dasakam Low Trucking Complete Rates

According to 2017 Highway safety institute (IIHS) Report, if there were all vehicles in the United States Further collision warnings with automatic emergency braking In 2014, “About 1 million police-reported rear-end crashes and more than 400,000 injuries could be prevented in such accidents.” A separate IIHS study concluded that placing both technologies on a vehicle was quite good to stop half of all such conflicts. Hek, there is a threat to the origin of both outside and inside to indicate the ability of those numbers as well as the noto system, claim that his company’s AI-capable dasatams can help in further cutting events compared to those underlying advanced driver support systems.

Vehicle damage clearly spends a lot of money and time to fix. Fleet also pays follow-on costs like people associated with them Driver businessA frequent problem in trucking. Low accident rate, by contrast, reducing recruitment and training costs and reducing insurance premiums – Strong incentive to fleet managers to implement technologies like this new class of AI decasals.

Today, Nauto’s Dashcam is an aftermarket add-on about the size of a smartphone, but the company combines future vehicles with embedded technology as a software feature. With the insurer determines its rates based on telematics rapidly from the fleet, video evidence, vehicle data and the ability to combine the monitoring of the driver can be reopened on how the risk is calculated and the rates are determined.

The effectiveness of these risk evaluation eventually hinges on the device driver trust. If the driver believes that the system is designed to make them a better, safe motor driver instead of serving the system as a monitoring tool, so that the company can look at its shoulder, they will be more likely to accept the input from their electronic copillots – and less likely to crash.