Tempe police speak at a press conference to address the accident where a self-driving Uber killed a pedestrian. In this file photo taken in 2016, pilot models of the Uber self-driving car are displayed at the Uber Advanced Technologies Center in Pittsburgh, Pennsylvania. PHOENIX -- The operator behind the wheel of a self-driving Uber vehicle that hit and killed a 49-year-old woman Sunday night had served almost four years in an Arizona prison in the early 2000s on an attempted armed robbery conviction. A representative for Uber declined to comment on the conviction and the company's hiring policies, citing an active investigation. Elaine Herzberg was walking a bike across a street outside a crosswalk in Tempe, Ariz., at about 10 p.m. when she was hit, police said.
It's okay for me, since I did not put that much effort in it.The I feel bad for the other students though. So there are two electives, semantic segmentation, and functional safety. Functional safety is interesting but I chose semantic segmentation, because it is a coding project, the functional safety project is to write a document. I learned about the concept of functional safety, and functional safety frameworks to ensure that vehicles is safe, both at the system and component levels.
Once upon a time, the Consumer Electronics Show was about personal gadgets: fancy phones, curving televisions, college-educated refrigerators. But in recent years cars have become the stars, and the auto industry has taken its place in Vegas. This week at CES, Ford CEO Jim Hackett gave a keynote talk about the future of urban mobility. Toyota CEO Akio Toyoda took a selfie with audience members after rolling out the carmaker's adorable autonomous shuttle concept. Chinese Tesla competitors sprang up to great fanfare.
Both Hyundai and the Volkswagen Group announced today that they are partnering with self-driving technology company Aurora Innovation and will be incorporating the firm's autonomous driving systems into their own vehicles. Hyundai will be working the technology into its latest fuel cell vehicle, debuting next week at CES, while the Volkswagen Group says it could be incorporated into a number of its brands' vehicles, including self-driving Sedric pods, shuttles, delivery vans or trucks.
Deep neural networks (DNNs) have enabled great progress in a variety of application areas, including image processing, text analysis, and speech recognition. DNNs are also being incorporated as an important component in many cyber-physical systems. However, recent research has shown that DNNs are vulnerable to adversarial examples: Adding carefully crafted adversarial perturbations to the inputs can mislead the target DNN into mislabeling them during run time. There have been several techniques proposed to generate adversarial examples and to defend against them. In this blog post we will briefly introduce state-of-the-art algorithms to generate digital adversarial examples, and discuss our algorithm to generate physical adversarial examples on real objects under varying environmental conditions.
Telematics is an industry that is defined as the integration of telecommunications and informatics to provide vehicle safety and entertainment services such as navigation, location confirmation and emergency dispatch through various communication technologies, from GPS and DMB (Digital Multimedia Broadcasting) networks to Bluetooth, Wi-Fi and mobile communication. LG, the leader in the global telematics market since 2013, is committed to introducing next-generation solutions that offer high-precision map information to meet the needs of the quickly expanding autonomous vehicle industry.