博文

目前显示的是 五月, 2017的博文

Personality and Teamwork

I've taken the personality assessment provided by ITP Lab. The report, I think, provides an accurate description of me in the following five items: Extroversion:  Generally, I'm an active person. I enjoy taking the lead in a group assignment, but also feel comfortable allowing others to take charge in a team and make contributions. I can maintain a balance between joy and seriousness at work and the report recommends me to take advantage of my flexibility to encourage the team. I am willing to meet new friends but sometimes enjoy focusing on the ongoing work. Emotionality: As for emotionality, sometimes I may feel stressed or worried about the tasks but will not be overwhelmed by those thoughts. I don't easily get frustrated and am able to stay focused on the tasks instead of being distracted by external temptations. However, sometimes I am too critical of myself and vulnerable in multiple tasks. I should turn to my teammates for help and share ideas wit

Ethical

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Case study of autonomous vehivle accident Autonomous emergency braking (AEB)   Case description:    Alice buys an autonomous vehicle from Bob, who sells them. The autonomous vehicle has different settings, some more aggressive (where the autonomous vehicle drives faster and brakes harder), and some less. Alice sets the autonomous vehicle to its most aggressive setting. One night on a dark and wet road, Alice hits a pedestrian, Carlos, who was jaywalking. Carlos is badly hurt. Analysis: In this case, Alice, vehicle manufacturers, Carlos and government, im my opinion, are supposed to take the responsibility for the injury of Carlos.  As the owner of the autonomous vehicle, Alice should take the main responsibilty for Carlos' injury. There are two reasons why Alice is to blame. In the firsr place, Alice wasn't aware of the risks of aggressive settings, otherwise she wouldn't have adjusted the settings to the highest level. The aggressive setting of her c

Introduction

1.     SAE classifications level 0: No Driving Automation at all. The driver performs the entire dynamic driving task (DDT), even if there are warnings that pop up such as a Check Engine light. level 1: Driver Assistance. The vehicle can assist with steering or speed in certain circumstances, but the human is still fully in charge of driving. level 2: Partial Driving Automation. The vehicle can take over steering and speed altogether in certain circumstances, but the human is still fully in charge of driving. level 3: Conditional Driving Automation. The vehicle steers, takes care of speed and monitors the road. The human is still required to take over when the system needs help. level 4: High Driving Automation. The vehicle can pretty much do everything, even if the human driver does not respond to the request. level 5: Full Driving Automation. The vehicle does absolutely everything a human driver could do without operational design domain(ODD). 2.     P

Technological

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1.Generalization of technologies on autonomous vehicles Technologies on autonomous vehicles Camera: Cameras are used on autonomous vehicles to collect image of road users, traffic signs and other obstacles. Lidar: Lidar generates 3D geoinformation mapping by comparing the differences of sent pulses and reflected pulses in laser return times and wavelength. GPS (Global Positioning System): The Global Positioning System (GPS) is a technology that utilizes three or more satellites to transmit precise signals, allowing GPS receivers to calculate and display accurate location, speed, and time information. Infrared: Infrared technology will find contrasts and contours of obstacles well beyond that of a camera. DMS (Driving Monitoring System): when danger is detected, the DMS notify the driver with flash or sounds if the sensor found the driver is focused on the road while swith on security mode if the driver is absent-minded. References http://www.geog.uni-heidelber