A deadly accident in Washington that took the life of a motorcyclist earlier this year was caused by a Tesla vehicle while it was in "Full Self Driving" mode. The Associated Press reported that investigators from the Washington State Patrol confirmed that a 2022 Tesla Model S involved in the fatality accident in April was in self-driving mode from the car's event-data recorder. The accident occurred on April 19 on the eastbound side of State Route 522 approximately 15 miles northeast of Seattle. The unidentified driver told police he had his Tesla's self-driving mode on and was looking at his phone at the time of the crash. The vehicle crashed into the back of the motorcycle pinning Jeffrey Nissen, 28, underneath the vehicle.

End-to-end learning refers to using a single system/model to perform complex tasks instead of breaking them into smaller simple tasks. One such complex task is driving. We, humans, are born with state-of-the-art capabilities when it comes to vision and learning complex tasks. Therefore it might seem simple when we look at it as humans, but we only realize the complexity when we have to build a system to carry out the same task. In this blog, we will try to demonstrate how end-to-end learning can be used to solve the driving problem by using convolutional Neural Networks.

Self-driving cars or autonomous vehicles are classified into various levels based on the level of automation built into them. Instead of a self-driving car, why not take the bus, you might ask. As you likely know, automated connected systems are no longer restricted to factories. They continue to percolate and expand in the daily thoroughfare of our lives. Gone are the days when owning and driving a car was a matter of privilege afforded by a select few.

The agency's reason is simple: it wants to ascertain whether the Autopilot mechanism has a safety defect that causes Tesla vehicles to hit emergency vehicles. In its letter to Tesla, the agency said it will "assess the technologies and methods used to monitor, assist, and enforce the driver's engagement with the dynamic driving task during Autopilot operation. The investigation will additionally assess the [object and event detection and response feature] by vehicles when engaged in Autopilot mode, and [operational design domain] in which the Autopilot mode is functional. The investigation will also include examination of the contributing circumstances for the confirmed crashes ... and other similar crashes." While the NHTSA didn't threaten Tesla with the possibility of a recall, it does have that power.

A Tesla in Autopilot mode crashed Saturday into a Florida Highway Patrol cruiser parked on the side of the road in Orlando. The crash happened while a federal investigation into Tesla's partially automated driving system is underway after nearly a dozen crashes involving emergency responder vehicles. The official police report from the Florida Highway Patrol states an Orlando man stopped his disabled vehicle in the travel lane of the highway. A 28-year-old trooper parked his patrol vehicle, a 2018 Dodge Charger, directly behind the disabled vehicle and activated the Dodge's emergency lights. The trooper then exited the vehicle to assist the driver.

The US National Highway Traffic Safety Administration (NHTSA) has initiated an investigation of Tesla's Autopilot system. The probe follows 11 crashes with parked first responder vehicles since 2018, which resulted in 17 injuries and one death. "Most incidents took place after dark and the crash scenes encountered included scene control measures such as first responder vehicle lights, flares, an illuminated arrow board, and road cones," the NHTSA's Office of Defects Investigation (ODI) wrote in a document detailing the investigation. "The involved subject vehicles were all confirmed to have been engaged in either Autopilot or Traffic Aware Cruise Control during the approach to the crashes." That covers around 765,000 Tesla electric vehicles, as Bloomberg notes.

One of the victims killed in last week's Tesla car crash in Texas, which police suspect to have involved the vehicle's autopilot mode, was William Varner, a 58-year-old anaesthesiologist, his employer said. In the incident on Saturday, two men were killed after their 2019 Tesla Model S, travelling at a high speed, failed to negotiate a curve and crashed into a tree, catching fire, police reports noted. According to the police, one of the victims was found in the passenger seat and the other in the back seat, while nobody was at the driving seat at the time of impact, raising doubts on the involvement of the car's autopilot mode. However, Tesla CEO Elon Musk tweeted on Monday saying that data logs retrieved from the crashed car by the company ruled out the use of the autopilot system. "Data logs recovered so far show Autopilot was not enabled ... Moreover, standard Autopilot would require lane lines to turn on, which this street did not have," he tweeted.

Security cameras watching a highway in Taiwan captured the moment a white Tesla Model 3 vehicle plowing into truck that was rolled over on its side. Reports say the driver of the Tesla did not see the overturned Truck while cruising with the Autopilot driver assistant feature activated. The footage also shows that the car's emergency automatic braking system was applied at the last second, due to smoke coming from the tires moments before the collision. An image of the aftermath shows the entire front-end of the Tesla pierced through the roof of the truck, but reports note that neither of the drivers were injured. Tesla's Autopilot features allow the vehicle to steer, accelerate and brake automatically within a lane.

If anybody read the word Artificial Intelligence (AI), he starts thinking that he will come to a shopping mall on his self-driven car and there a robot opens his car door. All services are automated without human presence, like greeter, house staff, and security guard. Every job is done by a robot. This perception is very much aligned for AI in near future, but are we adopting AI properly in Pakistan? Are we following ethical codes to use AI for improvement of human conditions?

When a pair of California Highway Patrol officers pulled alongside a car cruising down Highway 101 in Redwood City before dawn Friday, they reported a shocking sight: a man fast asleep behind the wheel. The car was a Tesla, the man was a Los Altos planning commissioner, and the ensuing freeway stop turned into a complex, seven-minute operation in which the officers had to outsmart the vehicle's autopilot system because the driver was unresponsive, according to the CHP. The arrest of 45-year-old Alexander Samek on suspicion of drunken driving reignited questions about the uses, and potential abuses, of self-driving technology. Reached by phone Friday afternoon, Samek, a real estate developer who runs the Kor Group, said, "I can't talk right now," before hanging up. Officers observed Samek's gray Tesla Model S around 3:30 a.m. as it sped south at 70 mph on Highway 101 near Whipple Avenue, said Art Montiel, a CHP spokesman.