driverless cars
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2022 ◽  
pp. 202-231

This chapter depicts the essence of cyborgization of social relations in sports, art, music, traffic. This harkens back to the pioneering cybernetic work of Norbert Weiner and extends into the current and future reconfigurations of man-machine relations that are shaping human life and society from human enhancement to driverless cars. The chapter shows that procedures of scientific work cyborgize the historical reality of man into the era of scientific humanism as naturalism, and that it is not the future, but in fact the present, that we are acclimatizing to as we have not become fully aware of the present future.


2022 ◽  
pp. 878-889
Author(s):  
Yair Wiseman

The first car was invented in 1870 by Siegfried Marcus. Actually, it was just a wagon with an engine but without a steering wheel and without brakes. Instead, it was controlled by the legs of the driver. Converting traditional vehicles into autonomous vehicles was not just one step. The first step was just 28 years after the invention of cars, that is to say 1898. This step's concept was moving a vehicle by a remote controller. Since this first step and as computers have been becoming advanced and sophisticated, many functions of modern vehicles have been converted to be entirely automatic with no need of even remote controlling. Changing gears was one of the first actions that could be done automatically without an involvement of the driver, so such cars got the title of “automatic cars”; however, nowadays there are vehicles that can completely travel by themselves although they are not yet allowed to travel on public roads in most of the world. Such vehicles are called “autonomous vehicles” or “driverless cars”.


2021 ◽  
pp. 379-389
Author(s):  
Boyi Li ◽  
Yi Zhao ◽  
Lu Lou

Author(s):  
Bobburi Taralathasri ◽  
Dammati Vidya Sri ◽  
Gadidammalla Narendra Kumar ◽  
Annam Subbarao ◽  
Palli R Krishna Prasad

The major and wide range applications like Driverless cars, robots, Image surveillance has become famous in the Computer vision .Computer vision is the core in all those applications which is responsible for the image detection and it became more popular worldwide. Object Detection System using Deep Learning Technique” detects objects efficiently based on YOLO algorithm and applies the algorithm on image data to detect objects.


2021 ◽  
pp. 325-334
Author(s):  
Laszlo Solymar

The claims of artificial intelligence are criticized. Most of the claims are regarded as hype or simple examples of automation. The progress of machines in playing games and beating world champions is described, but the artificial intelligence is still thought not to represent human intelligence. It is concluded that the programs are intelligent but not the machines. A 1921 play by Capek coining the word and introducing the modern interpretation of robots is analysed. Examples of robots and of virtual assistants in service at the moment are provided. The future of driverless cars is discussed, and it is concluded that fully autonomous cars are still many decades, rather than years, away.


Author(s):  
Shirley S Ho

Abstract This study answers two research questions regarding framing theory. First, what happens when frames are challenged? Second, how resistant are the opinions that initial frames induce? 1,006 participants completed an online experiment where they were randomly assigned to first view a blog post with either complementary or competitive framing on driverless cars. Participants also viewed a blog post that challenged the stance of the first blog post. Results revealed that complementary frames polarized opinions, while competitive frames neutralized framing effects. Competitive frames induced more resistant opinions than complementary frames did. Attitude and support were susceptible to new, antagonistic information. This study concludes that framing effects are ephemeral and easily challenged by different information.


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