Sensor Fusion Study

• Sensor Fusion Study Based on "Optimal State Estimation - Dan Simon"
• Sponsor by AI Robotics KR https://www.facebook.com/groups/airoboticskr/

Members

Study Lead :

• Stella Seoyeon Yang @howtowhy, Hayden

Study Contributors :

• Sora Kang, Dong Hyun Kim, Jeong Eun Park @jeongeun980906, Jin Hyuk Song @Jinhyeok1489, Young Beom Kim @eddy979797, Hae Gu Lee, Sung Min Ahn @aminsung, Soo Young Kim @kimsooyoung, Young Joo Kim, Kile

𝐂𝐡𝟏. 𝐋𝐢𝐧𝐞𝐚𝐫 𝐒𝐲𝐬𝐭𝐞𝐦 : Hayden

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch1-linear-system-hayden
• Youtube : https://youtu.be/-6pO8G8PHC4

𝐂𝐡𝟐. 𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐓𝐡𝐞𝐨𝐫𝐲 : Seo Yeon Stella Yang

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-probability-theory-stella
• Youtube :https://youtu.be/38dVDay2XnA

𝐂𝐡 𝟑. 𝐋𝐞𝐚𝐬𝐭 𝐒𝐪𝐮𝐚𝐫𝐞 𝐄𝐬𝐭𝐢𝐦𝐚𝐭𝐢𝐨𝐧 : Sora Kang, Stella, Hayden

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch3-least-square-estimation-stella-hayden
• Youtube : https://youtu.be/C_gtrXk3zNo

𝐂𝐡𝟒. 𝐏𝐫𝐨𝐩𝐚𝐠𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐬𝐭𝐚𝐭𝐞𝐬 𝐚𝐧𝐝 𝐜𝐨𝐯𝐚𝐫𝐢𝐚𝐧𝐜𝐞 : Dong Hyun Kim

• Slide: https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch4-propagation-of-states-and-covariance
• Youtube:https://youtu.be/38dVDay2XnA

𝐂𝐡 𝟓. 𝐓𝐡𝐞 𝐃𝐢𝐬𝐜𝐫𝐞𝐭𝐞-𝐓𝐢𝐦𝐞 𝐊𝐚𝐥𝐦𝐚𝐧 𝐅𝐢𝐥𝐭𝐞𝐫: Jeong Eun Park

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch5-the-discretetime-kalman-filter
• Youtube : https://www.youtube.com/watch?v=j9CRDGqmJ1I

𝐂𝐡 𝟔. 𝐀𝐥𝐭𝐞𝐫𝐧𝐚𝐭𝐞 𝐊𝐚𝐥𝐦𝐚𝐧 𝐅𝐢𝐥𝐭𝐞𝐫 𝐅𝐨𝐫𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬: Jin Hyuk Song

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch6-alternate-kalman-filter-formulations-jinhyuk-song
• Youtube: https://www.youtube.com/watch?v=xtSLagWgG3g

𝐂𝐡 𝟕. 𝐊𝐚𝐥𝐦𝐚𝐧 𝐅𝐢𝐥𝐭𝐞𝐫 𝐆𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬 : Young Beom Kim

• Slide :https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch7-kalman-filter-generalizations
• Youtube :https://youtu.be/y1T4ogYlJb0

𝐂𝐡 𝟖. 𝐓𝐡𝐞 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬-𝐓𝐢𝐦𝐞 𝐊𝐚𝐥𝐦𝐚𝐧 𝐅𝐢𝐥𝐭𝐞𝐫 : Hae Gu Lee

• Slide :https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch8-the-continuoustime-kalman-filter
• Youtube :https://youtu.be/HtS2SJcXcTE

𝐂𝐡 𝟗. 𝐎𝐩𝐭𝐢𝐦𝐚𝐥 𝐒𝐦𝐨𝐨𝐭𝐡𝐢𝐧𝐠: Hayden

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch9-optimal-smoothing-hayden
• Youtube : https://youtu.be/Amm6pObx8No

𝐂𝐡 𝟏𝟎. 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐓𝐨𝐩𝐢𝐜𝐬 𝐢𝐧 𝐊𝐚𝐥𝐦𝐚𝐧 𝐅𝐢𝐥𝐭𝐞𝐫𝐢𝐧𝐠: Stella Seoyeon Yang

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch11-additional-topic-in-kalman-filter-stella-seoyeon-yang
• Youtube: https://youtu.be/TI_fV4t6pOU

𝐂𝐡 𝟏𝟏. 𝐓𝐡𝐞 𝐇-𝐈𝐧𝐟𝐢𝐧𝐢𝐭𝐲 𝐅𝐢𝐥𝐭𝐞𝐫 : Young Beom Kim

• Slide :https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch11-the-hinfinity-filter
• Youtube :https://youtu.be/I_Kuj3coyFI

𝐂𝐡 𝟏𝟐. 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐓𝐨𝐩𝐢𝐜𝐬 𝐢𝐧 𝐇-𝐈𝐧𝐟𝐢𝐧𝐢𝐭𝐲 𝐅𝐢𝐥𝐭𝐞𝐫𝐢𝐧𝐠 : Hayden

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch12-additional-topics-in-hinfinity-filtering-hayden
• Youtube :https://youtu.be/Y7xQXTdHKWw

𝐂𝐡 𝟏3. 𝐍𝐨𝐧𝐥𝐢𝐧𝐞𝐚𝐫 𝐊𝐚𝐥𝐦𝐚𝐧 𝐅𝐢𝐥𝐭𝐞𝐫𝐢𝐧𝐠 : Sung Min Ahn

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch13-nonlinear-kalman-filtering-ahn-min-sung
• Youtube :https://youtu.be/xucMwb7yAwY

𝐂𝐡 𝟏4. 𝐓𝐡𝐞 𝐔𝐧𝐬𝐜𝐞𝐧𝐭𝐞𝐝 𝐊𝐚𝐥𝐦𝐚𝐧 𝐅𝐢𝐥𝐭𝐞𝐫 : Soo Young Kim

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch14-the-unscented-kalman-filter-sooyoung-kimg
• Youtube :https://youtu.be/niHpxUUbZ6c

𝐂𝐡 𝟏5. 𝐓𝐡𝐞 𝐏𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐅𝐢𝐥𝐭𝐞𝐫 : Stella Seoyeon Yang

• Slide : https://www.slideshare.net/roboticskrai/sensor-fusion-study-ch15-the-particle-filter-seoyeon-stella-yang
• Youtube :https://youtu.be/23QPRsIlJHk

Additional Session :

𝐑𝐞𝐚𝐥𝐰𝐨𝐫𝐥𝐝 𝐒𝐞𝐧𝐬𝐨𝐫 𝐅𝐮𝐬𝐢𝐨𝐧 𝟏 : Soo Young Kim, Stella Seoyeon Yang

• Slide1:https://www.slideshare.net/roboticskrai/sensor-fusion-study-real-world-1-lidar-radar-fusion-kim-soo-young-237932335
• Slide2:https://www.slideshare.net/roboticskrai/sensor-fusion-study-real-world-2-gps-ins-fusion-stella-seoyeon-yang-237976578Youtube :https://youtu.be/23QPRsIlJHk
• Youtube : https://youtu.be/74bdIvTIjvY

𝐑𝐞𝐚𝐥𝐰𝐨𝐫𝐥𝐝 𝐒𝐞𝐧𝐬𝐨𝐫 𝐅𝐮𝐬𝐢𝐨𝐧 𝟐 : Young Joo Kim, Kile

• Youtube :https://youtu.be/t-4bAf3woSU

License

[Apache License 2.0][https://github.com/mercy-project/TLdroid/blob/develop/LICENSE]