Floating trucks is one of the non -valued backbone of modern civilization. It is also difficult and sometimes dangerous work. But technology is spun to make the work safer and easier.
A new class devices is aimed at fleets that helps drivers to avoid accidents by marking risky situations. The new systems use conventional neural networks that run in the vehicle (“Edge” Ai) And in the cloud to merge data input of the diagnostics of the vehicle on board, together with data from cameras that the driver and the roadway are confronted. The result is systems that can assess the risk of collision in real time and warn drivers on time to avoid most of them.
One of the most advanced of the new systems is from a company called Nauto. Earlier this year, the Virginia Tech Transportation Institute (VTTI) Place the AI-enabled security system of the Palo Alto, California-based startup through its passes on the same Virginia smart roads Test tracks with controlled access where it carried out a benchmark study from 2023 that evaluates three comparable products. VTTI says that this year’s tests were performed under the same scenarios of derivative driving, rolling stops, tail gating and night driving.
According to the Virginia Tech researchers, the Dashcam of Nauto has matched the earlier benchmarked gadgets in detection or better than performed and gave feedback that could use more directly in information supervisors to tackle and correct the behavior of risky director. “With this study, we could evaluate the driver in a controlled, repeatable way of way, so that we could clearly measure how the [Nauto] System responded to risky behavior, “says Susan SoccolichA senior research employee at VTTI.
OF Attentive researcher of the driver Bryan Reimerwho was not involved in the study, says that the actual value of systems such as Nauto’s lies is outside the monitoring. “Many companies only focus on monitoring, but only monitoring is only an enabler – the sensor, such as radar in adaptive cruise control or forward collision warning. The real art lies in the support systems that form the behavior of the driver. That is what makes Nauto unique.”
Reduction of alert fatigue in the safety of trucks
“One of our primary goals is to only give reports when corrective action is still possible,” says Nauto CEO Stefan Heck. Just as important, he adds, is a design that is meant to avoid ‘alert fatigue’, a well -known phenomenon in which warnings are activated when situations do not really ask to make the respondents less to clear eight. False warnings have plagued long-term systems for driver assistants for a long time, so that drivers ultimately even ignore the most serious warnings.
Nauto claims that the warnings are accurate more than 90 percent of the time, because it combines more than ten distraction and sleepiness indicators. Among the unpleasant indicators, the system traces are nod -nod or tilting, yawning, change in eye cutting speed, long eyelid closures (which points to something that is called micro -towels), and tail to long -term periods of the road (what happens when people text and drive). When a pedestrian enters the pedestrian crossing and the driver is awake, alert and not drives too fast, the system remains silent in the assumption that the driver will delay or stop so that the person can cross the street on foot without incidents. But if it notes that the driver scrolls on his phone, it sounds an alarm – and perhaps also bring about a visual warning – on time to prevent injury from causing injury.
Although VTTI did not specifically test false-positive rates, it measures the accuracy of the detection in multiple scenarios. Soccolich reports that in class 8 tractor tests the system has issued audible in-cabs reports for 100 percent of the handheld calls, outgoing texts, discreet round use of a smartphone and safety belts, as well as 95 percent of the rolling stops. For the output of a lead vehicle, it initially warned in 50 percent of the studies, but after adjustment it yielded warnings in 100 percent of the cases.
The Nauto alarms can not only be activated in the driver’s cabin, but also in the offices of the fleet counselors of the transport company that uses the system. But Nauto structures his warnings to give priority to the driver: all-ranking warnings-for the most risky situations go to the cabin of the truck, which makes self-correction possible, while supervisors are only informed if the system requires recklessness or a pattern of lower risk behavior that requires corrective action.
“Many companies only focus on monitoring, but only monitoring is only an enabler – the sensor, such as radar in adaptive cruise control or forward collision warning. The real art lies in the support systems that form the behavior of the driver. That is what makes Nauto unique.” -Bryan Reimer, MIT
The company packs its vehicle hardware in a windshield mounted dashcam that connects to a truck Diagnostic gate built -in. With cameras with forward and drivers and direct access to vehicle data flows, the device continuously houses the risk. A delivery person who looks at a telephone while drifting off their jobs, for example, activates an immediate warning and an notification to supervisors that justifies the driver’s behavior on the carpet for their recklessness.
On the other hand, a national stop sign at dawn can activate nothing more than a cheerful memory to stop completely next time. There are more complex cases, such as when a driver follows another vehicle too closely. On a sunny day, in light traffic, the system can let go and stop it to give a warning about the tail gating. But when it starts to rain, the system recognizes the change in safe stop distance and it contributes to its risk calculation. The driver is told to withdraw, so there is enough space to stop the truck on time on the rain of the rain when the main car suddenly hits his brakes.
Nauto wants to give drivers three to four seconds to clearly steering, gently braking or re -focusing. “The better reaction does not always hit the brakes,” says Heck. “Sometimes waving is safer, and today no automated braking system will do that.”
AI Dashcams Lower Voyage Ruptment Cacolish prices
According to a 2017 Insurance Institute for Highway Safety (Iihs) report, if all vehicles in the United States were Equipped with both forward collision warning with automatic emergency braking In 2014, “nearly 1 million in the police reported by the police and more than 400,000 injuries in such accidents could have been prevented.” A separate IIHS study concluded that placing both technologies on a vehicle was good enough to prevent half of all such collisions. Heck, pointing to those figures and to the ability of the Nauto system to feel the danger that both outside and in a truck comes, claims that the AI-compatible dashcam of his company can help reduce the incidence of collisions even further than that built-in advanced driver aid systems.
Vehicle damage clearly costs a lot of money and time to solve. Fleet also pay follow -up costs as it is connected The turnover of the driverA persistent problem with trucks. Lower crash rates, vice versa, reduce recruitment and training costs and lower insurance premiums – giving fleet managers strong incentives to implement technologies such as this new class AI dashcams.
Nowadays, Nauto’s Dashcam is an aftermarket-Add-on about the size of a smartphone, but the company proposes future vehicles with the technology embedded as a software function. Because insurers are increasingly determining their rates on the basis of telematics van Vloten, the possibility to combine video certificate, vehicle data and director monitoring how the risk is calculated and the rates are set.
Ultimately, the effectiveness of this risk assessment and alert devices depends on the driver’s confidence. If the driver is of the opinion that the system is designed to make them a better, safer motorist instead of serving as a supervision, so that the company can look over their shoulder, they will accept input from their electronic co -pilot – and crash less likely.
Of your site -articles
Related articles on Internet
#Nautos #Dashcam #performs #rivals #drivers #safety #tests