<?xml version="1.0"?>
<rss version="2.0">
   <channel>
      <title>Self Driving Car [padlet.com/kayjanw/week4a] by KJ Wong</title>
      <link>https://padlet.com/kayjanw/week4a</link>
      <description>Activity Duration: 10 minutes</description>
      <language>en-us</language>
      <pubDate>2021-05-05 18:13:00 UTC</pubDate>
      <lastBuildDate>2025-07-21 11:26:13 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
      <image>
         <url></url>
      </image>
      <item>
         <title>Instructions</title>
         <author>kayjanw</author>
         <link>https://padlet.com/kayjanw/week4a/wish/1495159022</link>
         <description><![CDATA[<div>1. What are some of the <strong>key AI tasks</strong> involved in the NUSmart Shuttle?<br><br>2. Think about how each AI task can be implemented<br><br>3. With reference to CRISP-DM methodology, what are some <strong>business objectives</strong> that could be achieved by the university with the NUSmart Shuttle? Define some <strong>business success criteria<br></strong><br>4. Would jobs be taken away or created due to the NUSmart Shuttle?<br><br><em>* Assign a dedicated note-taker because each post can only be edited by one person at a time<br>* Raise your hand in breakout room if you need any help</em></div>]]></description>
         <pubDate>2021-05-05 18:13:00 UTC</pubDate>
         <guid>https://padlet.com/kayjanw/week4a/wish/1495159022</guid>
      </item>
      <item>
         <title>Group A</title>
         <author>kayjanw</author>
         <link>https://padlet.com/kayjanw/week4a/wish/1495159024</link>
         <description><![CDATA[<div>1. AI tasks: Supervised learning - object recognition, image classification and object localisation. Such as car detection, pedestrian detection, lane detection, traffic light detection, obstacle detection.<br><br>2. Through image classification by giving enough images of each variable type (car, pedestrian, land, traffic). Object localisation by mapping the location of the lane and using sensors, camera.&nbsp;<br><br>3.<br>Objective: (measurable and Quantifiable) : SMART nation<br>Success Criteria: using technology (AI) to perform task<br><br>4.</div>]]></description>
         <pubDate>2021-05-05 18:13:00 UTC</pubDate>
         <guid>https://padlet.com/kayjanw/week4a/wish/1495159024</guid>
      </item>
      <item>
         <title>Group B</title>
         <author>kayjanw</author>
         <link>https://padlet.com/kayjanw/week4a/wish/1495159028</link>
         <description><![CDATA[<div>1. AI tasks:&nbsp;<br>- Avoid obstacles<br>- Autonomous driving<br>- Self-navigate on roads<br><br>2.&nbsp;<br>- LIDAR &amp; Radar to scan the roads for obstacles and collect vision/data of environment so that the data can be used by the EV for self-navigation.<br>- Image recognition is used to understand the traffic condition to enable autonomous driving.<br><br>3.&nbsp;<br>Objective: To replace diesel-operated buses for sustainability.<br>Success Criteria: Can operate long hours.<br><br>4.&nbsp;<br>- Bus driver will be replaced by safety operator.<br>- Jobs created for maintenance of the NUSmart Shuttle<br><br></div>]]></description>
         <pubDate>2021-05-05 18:13:00 UTC</pubDate>
         <guid>https://padlet.com/kayjanw/week4a/wish/1495159028</guid>
      </item>
      <item>
         <title>Group C</title>
         <author>kayjanw</author>
         <link>https://padlet.com/kayjanw/week4a/wish/1495159031</link>
         <description><![CDATA[<div>1. AI tasks: car; pedestrian, traffic light, lane detection; prediction<br><br>2.&nbsp; collect information while running pilot using cameras, radars etc<br><br>3. Objective: meet green sustainable goal by 2030<br>provide safe travel within campus<br>gauging the commercial viability of autonomous vehicles&nbsp;<br><br>Success Criteria: achieving the green sustainable goal by 2030<br><br>4. Jobs will be created - need for data scientists&nbsp;</div>]]></description>
         <pubDate>2021-05-05 18:13:00 UTC</pubDate>
         <guid>https://padlet.com/kayjanw/week4a/wish/1495159031</guid>
      </item>
      <item>
         <title>Group D</title>
         <author>kayjanw</author>
         <link>https://padlet.com/kayjanw/week4a/wish/1495159033</link>
         <description><![CDATA[<div>1. AI tasks: to maintain a safe distance / avoid collision<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; to follow the designed bus route&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;<br>2.&nbsp; employ the camera for object recognization and a sensor for distance measurement to avoid collision<br>&nbsp; &nbsp; &nbsp;to upload the routes to plan&nbsp;<br>&nbsp;<br><br>3.<br>Objective: Utilize the clean energy / Logistics and transportation<br>Success Criteria:&nbsp;<br>low accident events&nbsp;<br>punctually follow the scheduled bus schedule /Cost reduction ，safety and timely<br>4.driver and Courier / factory of AI ，service engineer and AI engineer</div>]]></description>
         <pubDate>2021-05-05 18:13:00 UTC</pubDate>
         <guid>https://padlet.com/kayjanw/week4a/wish/1495159033</guid>
      </item>
      <item>
         <title>Group E</title>
         <author>kayjanw</author>
         <link>https://padlet.com/kayjanw/week4a/wish/2017326934</link>
         <description><![CDATA[<div>1. AI tasks:<br>- ability to detect traffic lights, pedestrian and road&nbsp;<br><br>2. At predefined route, equipped with a full range of sensors to detect and avoid potential obstacles. Relies on its own internal array of software and hardware technologies for its navigation on the roads. by harnessing the latest developments in robotics and Artificial Intelligence.<br><br><br>3.<br>Objective:<br>Success Criteria:<br>- 0 car and human accident<br>- 0 traffic voilation<br><br>4.&nbsp;<br>- bus driver</div>]]></description>
         <pubDate>2022-01-28 05:41:15 UTC</pubDate>
         <guid>https://padlet.com/kayjanw/week4a/wish/2017326934</guid>
      </item>
      <item>
         <title>Group F</title>
         <author>kayjanw</author>
         <link>https://padlet.com/kayjanw/week4a/wish/2231274910</link>
         <description><![CDATA[<div>1. AI tasks:<br><br>2.<br><br>3.<br>Objective:<br>Success Criteria:<br><br>4.</div>]]></description>
         <pubDate>2022-06-27 08:41:12 UTC</pubDate>
         <guid>https://padlet.com/kayjanw/week4a/wish/2231274910</guid>
      </item>
   </channel>
</rss>
