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10 Creative Safety Features For Driverless Car One Must Know

#artificialintelligence

For a few years now, research and development in driverless cars have evolved tremendously, and several intuitive and creative changes have been witnessed. There have been various demonstrations of these autonomous vehicles by the auto giants both on and off roads. However, the measure of safety has always been a serious concern in self-driving cars. There have been severe accidents during the trials on-road of various driverless cars. For instance, in 2016, a Tesla driver died in a fatal crash while using autopilot mode.


Tesla driver, 20, charged after found asleep at wheel of self-driving car traveling over 90 mph: cops

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A Canadian man has been charged after he was found asleep at the wheel of a self-driving Tesla traveling over 93 mph down a highway in the province of Alberta, authorities said on Thursday. The July 9 incident occurred after authorities received a complaint that a Model S Tesla was speeding on a highway near the town of Ponoka, located about 60 miles south of Edmonton, according to a release by Alberta Royal Canadian Mounted police (RCMP). "The car appeared to be self-driving, traveling over 140km/h, with both front seats completely reclined and both occupants appearing to be asleep," the RCMP said in a statement.


AI must narrow rather than widen development gaps

#artificialintelligence

China's burgeoning artificial intelligence sector is urged to not to drive another round of regional development imbalance. While on the path toward a moderately prosperous society, experts warn the AI industry should not create gaps among the affluent and poverty-stricken areas, thus affecting livelihoods in the latter. AI industrial clusters have taken shape in the Beijing-Tianjin-Hebei and Pearl River Delta regions, but other areas are lagging behind according to a research report from the Next Generation AI Research Institute at Nankai University, released this year. A new round of regional development imbalance is likely in the pipeline, it said. Statistics indicate the sector is expected to see its industrial value hit 70 billion yuan ($10.3 billion), more than doubling itself from 33.9 billion yuan according to China IRN, a domestic industrial think tank.


Artificial Intelligence: Empowering Futuristic Automotive Vehicles

#artificialintelligence

Artificial Intelligence (AI) helps the vehicle to take decision in complex environment. AI is utilized in automobiles industry for smart mobility. At present, automotive industry has employed advanced driver assistance system (ADAS) and with increase amount of embedded intelligent the industry is progressing towards semi-autonomous vehicle. AI enables real-time recognition of surroundings and automates the vehicle mobility, controls in-vehicle systems, and eventually prevents accident. The various applications of AI in automobile sector is road tracking, capturing driver's gesture and expression, passenger experience, fleet management, weather monitoring, predictive maintenance, location search, E-payment and in-vehicle system control.


Artificial Intelligence: Empowering Futuristic Automotive Vehicles · Wall Street Call

#artificialintelligence

Artificial Intelligence (AI) helps the vehicle to take decision in complex environment. AI is utilized in automobiles industry for smart mobility. At present, automotive industry has employed advanced driver assistance system (ADAS) and with increase amount of embedded intelligent the industry is progressing towards semi-autonomous vehicle. AI enables real-time recognition of surroundings and automates the vehicle mobility, controls in-vehicle systems, and eventually prevents accident. The various applications of AI in automobile sector is road tracking, capturing driver's gesture and expression, passenger experience, fleet management, weather monitoring, predictive maintenance, location search, E-payment and in-vehicle system control.


Backup Driver Of Autonomous Uber SUV Charged With Negligent Homicide In Arizona

NPR Technology

Rafaela Vasquez has been charged with negligent homicide in the death of a pedestrian struck by an autonomous Uber SUV in March 2018. Vasquez was at the wheel of the vehicle at the time. Rafaela Vasquez has been charged with negligent homicide in the death of a pedestrian struck by an autonomous Uber SUV in March 2018. Vasquez was at the wheel of the vehicle at the time. The driver behind the wheel of an autonomous Uber car that fatally struck an Arizona woman has been charged with negligent homicide. Rafaela Vasquez, 46, appeared in court on Tuesday in Maricopa County, Ariz.


Uber backup driver charged with negligent homicide in self-driving accident

Engadget

It has been more than two years since one of Uber's autonomous SUVs struck and killed Elaine Herzberg in Tempe, Arizona. Last year one group of prosecutors (from another county due to a conflict of interest in the area where the crash happened) decided they would not file criminal charges against Uber, but on Tuesday a grand jury in Maricopa County charged the vehicle's backup driver with negligent homicide. County attorney Allister Adel said in a statement that "Distracted driving is an issue of great importance," as a report by police and investigation by the NTSB said Rafaela Vasquez was streaming The Voice on Hulu while sitting behind the wheel of the vehicle. Tempe Police Vehicular Crimes Unit is actively investigating the details of this incident that occurred on March 18th. We will provide updated information regarding the investigation once it is available.


A next-gen safety algorithm may be the future of self-driving cars

#artificialintelligence

Taking a snooze at your car's steering wheel as it hurdles down a freeway is a terrible idea, but with the continued expansion of self-driving car technology, getting a few extra minutes of sleep on your commute may not remain a pipe dream for much longer. But there are more than a few issues with this vision of the future. Chief among them is that the people don't trust self-driving cars, at least not enough to confidently put their lives in vehicles' "hands." Research from computer scientists in Germany could swing public opinion, however. Armed with a new algorithm, autonomous vehicles would be able to make safety calls in real-time.


The Future of Artificial Intelligence

#artificialintelligence

"[AI] is going to change the world more than anything in the history of mankind. AI oracle and venture capitalist Dr. Kai-Fu Lee, 2018 In a nondescript building close to downtown Chicago, Marc Gyongyosi and the small but growing crew of IFM/Onetrack.AI have one rule that rules them all: think simple. The words are written in simple font on a simple sheet of paper that's stuck to a rear upstairs wall of their industrial two-story workspace. Sitting at his cluttered desk, located near an oft-used ping-pong table and prototypes of drones from his college days suspended overhead, Gyongyosi punches some keys on a laptop to pull up grainy video footage of a forklift driver operating his vehicle in a warehouse. It was captured from overhead courtesy of a Onetrack.AI "forklift vision system." Employing machine learning and computer vision for detection and classification of various "safety events," the shoebox-sized device doesn't see all, but it sees plenty. Like which way the driver is looking as he operates the vehicle, how fast he's driving, where he's driving, locations of the people around him and how other forklift operators are maneuvering their vehicles. IFM's software automatically detects safety violations (for example, cell phone use) and notifies warehouse managers so they can take immediate action. The main goals are to prevent accidents and increase efficiency. The mere knowledge that one of IFM's devices is watching, Gyongyosi claims, has had "a huge effect." "If you think about a camera, it really is the richest sensor available to us today at a very interesting price point," he says. "Because of smartphones, camera and image sensors have become incredibly inexpensive, yet we capture a lot of information.


Everything to know about Autonomous Things (AuT)

#artificialintelligence

Autonomous things (AuT), or the Internet of autonomous things (IoAT), is a rising term for the innovative advancements that are expected to carry computers into the physical environment as autonomous entities without human guidance, openly moving and collaborating with people and different items. AuTs are stocked with sensors, AI and analytical abilities to improve the things they can do. With that impact, each machine can settle on its own choice and complete tasks autonomously. These gadgets are fit for working independently. Autonomous devices need to interface with their environmental surroundings to stay away from accidents.