Drivers can now assess the condition of their vehicles in minutes thanks to this new AI-powered vehicle inspection system. The system has already been used by 300 dealerships in the US and has received recognition from General Motors, Carmax, Volvo Cars, and Amazon.
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A couple of weeks ago (https://lnkd.in/g77hSkte) I shared a video on how people and machines work together in the same warehouse environment. Here's a way the two can share the road: "Turquoise taillights tell you this Mercedes is driving autonomously" (Ars Technica) https://lnkd.in/gfsjKq73 Vehicles already bear brake lights and turn signals, "student driver" signs, and the occasional warning for "wide load" or "makes frequent stops." We can spot those from afar and modify our behavior accordingly. It makes perfect sense, then, for a car to signal to nearby drivers and pedestrians that it is under AI control. Companies can borrow the Mercedes idea for other situations. If a task can be performed by both a person and a machine – whether it's for a customer service chat interface, dispute resolution, or loan approval – customers and team members should know when they are interacting with an automated system.
Turquoise taillights tell you this Mercedes is driving autonomously
arstechnica.com
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Smart #marketing is always good, but no marketing strategy should lead to misunderstanding/confusion/unwanted problem for the consumer. Can't understand why Tesla promotes its #ADAS (Advanced Driver Assistance System) feature suite as 'Autopilot' and 'Full Self-Driving' when the company itself says on its website that 'The currently enabled Autopilot and Full Self-Driving features require active driver supervision and do not make the vehicle autonomous'. Should the layperson be faulted if she/he thinks her/his car can run autonomously with a feature called 'Autopilot'/'Full Self-Driving' engaged? Tesla is cited here as an example for the importance of accurate terminology/foolproof communication. I don't think anyone sells technology with an intention to do harm, and that applies to Tesla also. In India, we have already seen videos of some not-so-mature users of ADAS equipped vehicles letting the vehicle drive on its own while they are engaged doing something else inside (and even outside!) the vehicle. And this, when the vehicles in question have ADAS features that qualify as only Autonomous Driving Level 1.5/2.0, and their makers not calling the advanced features anything beyond ADAS! Automakers in India, and India-like markets where the motoring history is not as matured as it is in North America, Europe should also invest on creating awareness, and make help consumers make the most of #technology, and not misuse it, even inadvertently. Maruti Suzuki India Limited Hyundai Motor India Ltd.Tata Motors Mahindra and Mahindra Limited [Automotive and Farm Equipment Business]
Tesla must face vehicle owners' lawsuit over self-driving claims - ET Auto
auto.economictimes.indiatimes.com
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#Hardware #Driverlesscars What the UK’s Automated Vehicles Act really means: The UK's Automated Vehicles Act passed in May, but what does the industry think about it? And when will driverless cars hit our roads? Nicole Kobie explains The post What the UK’s Automated Vehicles Act really means appeared first on TechFinitive.
What the UK's Automated Vehicles Act really means | TechFinitive
techfinitive.com
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All these vehicle autonomous driving systems work in very similar way: they collect data using radars and cameras, pass data into software algorithms which guess out what subjects are on road and around, make decisions on next move, and then control vehicle systems to act on the decisions. There are many possible failing components, but two components may cause main failures: 1, data collected through radars and cameras may be faulty - these systems are not as accurate and efficient as human eyes and ears in many cases; 2, software used to make guess could make silly guess - the software cannot think or reason, it can only guess, so way dumber than human brain. https://lnkd.in/gtkUsuat.
Ford BlueCruise probed by U.S. agencies over fatal crash
driving.ca
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More details are emerging on two recent Ford Mach-E crashes, involving BlueCruise - this article pulls some facts from the (preliminary) NTSB reports. Two key questions I am wondering about after discussions on the weekend: - What is Ford's protocol for how BlueCruise is supposed to detect stationary vehicles at night? Cameras are impaired in the dark and radar can struggle with stationary objects. - Were the drivers inattentive - and if so, did the DMS flag that and what action did the system take? So while there are still unanswered questions, this again shows that the age of accountability has arrived for automated driving: Even when it was 'only' one crash which (at the time) may or may not have been BlueCruise-related, media was on the case immediately ...
Ford’s BlueCruise hands-free driver assist under investigation after two fatal crashes
https://electrek.co
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SAFETY RECALL - DO YOU OWN A BMW? BMW Recalling More Than 390,000 Vehicles Due to Airbag Inflator Issue BMW of North America is recalling more than 390,000 vehicles in the United States because they are equipped with airbag inflators that can explode, leading to a potentially serious injury or death. The original steering wheel may have been replaced with a sport or M-sport steering wheel equipped with a Takata inflator, the agency said. If the inflator explodes, it may result in sharp metal fragments striking the driver or other occupants of a vehicle, resulting in serious injury or death, the NHTSA said. The National Highway Traffic Safety Administration said Wednesday that the recall of 394,029 vehicles includes certain 2006–2011 3 Series Sedan (324i, 325i, 325xi, 328i, 328xi, 330i, 330xi, 335i, 335xi), 2006–2012 3 Series Sportswagon (325xi, 328i, 328xi), and 2009–2011 3 Series Sedan (335d) vehicles. BMW dealers will inspect and replace the driver’s airbag module as necessary for free. Owner notification letters are expected to be mailed on Aug. 23. Vehicle owners may contact BMW customer service at 1–800–525–7417 or the National Highway Traffic Safety Administration Vehicle Safety Hotline at 1–888–327–4236.
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Navigating Safety: Vehicle Road Sign Assist Market Trends Get To More: https://lnkd.in/gaB3MVcq The Vehicle Road Sign Assist market is witnessing #significant growth due to its pivotal role in enhancing driver safety and awareness on the road. Utilizing #advanced camera and image #recognition technology, these systems detect and interpret road signs, providing real-time alerts to drivers about speed limits, #traffic conditions, and other important information. This technology contributes to reducing #accidents and improving overall road safety by ensuring drivers stay informed and compliant with traffic regulations. As road sign recognition systems become increasingly integrated into modern vehicles, they are poised to become a standard feature, further driving market #expansion. With the continuous evolution of automotive safety technology and the growing emphasis on intelligent #transportation systems, the Vehicle Road Sign Assist market is expected to experience sustained growth, offering safer and more #efficient driving experiences for motorists worldwide. Key players in the Vehicle Road Sign Assist Market: 1. Continental AG 2. Delphi Automotive System, Bangalore LLP 3. DENSO Corporation 4. Autoliv Inc 5. HARMAN International Industries Inc #VehicleRoadSignAssist #RoadSafety #DriverAssistanceSystems #AutomotiveTechnology #TrafficSignRecognition #IntelligentTransportation #SafetyInnovation #DrivingSafety #TrafficAwareness #AdvancedDriverAssistance #RoadSignDetection #VehicleSafety #TrafficRegulations #AutomotiveSafety #MarketTrends
Vehicle Road Sign Assist Market: Global Industry Analysis and Forecast (2023-2029)
https://www.maximizemarketresearch.com
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#Topics Amazon Taps UVeye for AI Vehicle Inspection of Delivery Vans [ad_1] UVeye, a pioneer in the development of automated vehicle inspection systems, and Amazon today announced the deployment of AVI (Automated Vehicle Inspection), an AI-powered system that automates most of the daily inspection process of delivery vehicles.AVI scans and detects automotive issues, improving fleet maintenance and reducing downtime for Delivery Service Partners (DSPs). It also improvies safety for their drivers and the communities they serve. AVI will be deployed in Amazon delivery stations in the U.S., Canada, Germany and the U.K.UVeye tire and wheel scanner for Automated Vehicle Inspections of Amazon deliery vehicles. Credit UVeye.The system, which scans a vehicle in seconds as it drives through a tunnel of cameras and sensors, has been piloted at select Amazon delivery stations in the United States. A study of the data shows that AVI finds more defects in hard-to-inspect places, such as damage to the vehicle undercarriage, or nails in the tire thread (35% of all issues stem from tires) compared to manual inspections. By automating part of the vehicle inspection process using computer vision and machine learning, AVI makes inspections faster, more accurate, systematic and objecti...
Amazon Taps UVeye for AI Vehicle Inspection of Delivery Vans - AIPressRoom
https://aipressroom.com
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Ford trucks are gearing up to revolutionize safety on the road with a cutting-edge AI-powered ADAS and HD cameras replacing traditional mirrors. This innovative system offers drivers a wider view of their surroundings, making parking and backing up a breeze while ensuring precision. Partnered with Gauzy Ltd, an Israeli technology company, Ford is rolling out the first generation of this AI-powered ADAS for commercial trucks. By incorporating this advanced technology, Ford not only enhances safety but also paves the way for new revenue streams for Gauzy's safety-tech division. At the heart of this game-changing system is the Smart-Vision camera monitor system (CMS), promising heightened safety, increased fleet efficiency, and reduced fuel consumption. Stay informed on the latest transportation technology advancements by checking out the link below. #adas #SAE #autonomousdriving #ford #cms #safety #AI [Read more](https://lnkd.in/eGUwEVZX)
Ford trucks to get AI ADAS, replacing mirrors with HD cameras
interestingengineering.com
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Are Teslas ready to be robotaxis? Yesterday, I thought I would see if Tesla "Full Self-Driving" was able to perform my driving tasks of the day: a little over 50 miles that took a little under 2 hours' time, 60% of which was highway driving. Conditions were typical of the East San Francisco Bay Area where I live: bright and clear weather, with few pedestrians during the city driving portions. The car is a model year 2020 so it still has the ultrasonic sensors, it's running the latest standard software update (FSD v12.3.6) and the FSD profile is set to Average. Here are my observations regarding interventions I performed, to keep automated driving running well and to prevent accidents (along with thoughts I had in the moment, in parentheses): 1. Unable to start FSD about half the time, until the car was manually driven to a more desirable position. It also did not stop in the best places; for example going home it ended in front of a garbage can, in the road. (I did not expect these to be solved yet, but in the context of full autonomy they were human supervisor "assists" that needed to be performed.) 2. Brake pedal pressed when a truck drove in front of the car while it was pulling out of its parking spot, at a Taco Bell close to the office where I work. (I was startled, and was not sure whether it would have stopped on its own.) 3. Steering wheel turned to prevent hitting curb, in the same parking lot as above. Similarly, later in the day I disengaged the system during a right turn after a traffic light. (My concern here was that I didn't want my wheel rims damaged, at least not more than they already have been.) 4. Brake pedal pressed at the last second to prevent driving up onto curb and sidewalk. This was just after a bus stop along the side of the road while turning into the sun, about 2 hours before sunset. There was a pedestrian in the path of the car. (In addition to probably preventing an accident, I might have gotten a traffic ticket — it's illegal to drive on a sidewalk like this in California.) 5. Drove the wrong way in parking garage up multiple levels. Brake pedal was eventually pressed. (Luckily, no one backed their car out of their parking spot while this was happening.) For clarity, the above is not a statistically significant data set. This is just me waking up one morning and saying 'let's see how good it is, now.' Anyway, I was impressed! It drove me all the way to work, and performed perfectly well over 90% of the time. Tesla has done an amazing job improving this over time (I purchased FSD over 4 years ago). On the other hand, if you take the roughly 2 hours of driving time and divide it by just the last 2 events, the implication is that the mean time between human-interventions needed could be something like 1 hour (read: someone's alert and ready to act, once every hour or so, to keep automated driving running well and to prevent accidents). I welcome comments on this, positive or negative.
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