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Booil Jung
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  • docs
    • ๋ชฉ์ฐจ
    • ์†Œํ”„ํŠธ์›จ์–ด ์œตํ•ฉ
    • ์ž์œจ ์ฃผํ–‰ (Autonomous Driving/Flight)
    • _control_engineering
    • _organization
    • ์†Œํ”„ํŠธ์›จ์–ด ํ™œ์šฉ ์‚ฌ๋ก€ (Software Use Cases)
    • _study
    • agricultural_science
    • applied_math
    • artificial_intelligent
    • connections
    • ์ฝฉํŠธ
    • control_engineering
    • dbms
    • geospatial_science
    • hardware
    • infosec
    • interest
    • linux
    • math
    • mechanics
    • physics
    • programming
    • robot
    • sensor_data_processing
    • _9990 ๊ธฐํƒ€
      • ๋“œ๋ก  ๋น„ํ–‰ ์ œ์–ด ์ปดํ“จํ„ฐ์˜ ์ด์ค‘ํ™”: ์„ค๊ณ„, ์‹ ๋ขฐ์„ฑ, ๊ฒ€์ฆ
      • ์ˆ˜ํ•™ (Mathematics)
      • ์•„์นจ ์ธ๊ณต ์‹ ๊ฒฝ๋ง
      • ๊ฐ€์šฐ์‹œ์•ˆ ๋ฏน์Šค์ฒ˜ ๋ชจ๋ธ (Gaussian Mixture Model, GMM)
      • ์ •๋ฆฌ๋˜์ง€ ์•Š์€ ๋‚ด์šฉ
        • TODO
        • 220 built-in composite data type
        • ์กฐ์ง๋ก  (Organizational Theory)
        • ํŠน์ด๊ฐ’ ๋ถ„ํ•ด (Singular Value Decomposition, SVD)
        • ํ™œ์„ฑํ™” ํ•จ์ˆ˜ (Activation Functions)
        • ์ ์‘ํ˜• ์นผ๋งŒ ํ•„ํ„ฐ (Adaptive Kalman Filter)
        • ๋Œ€์ˆ˜ ๋ฐฉ์ •์‹
        • ์ธ๊ณต์‹ ๊ฒฝ๋ง (Artificial Neural Networks, ANN)
        • ์ž์œจ ์ฃผํ–‰ (Autonomous Driving)
        • ๋ฒ ์ด์ฆˆ ํ™•๋ฅ ๋ก  (Bayesian Probability Theory)
        • ๋ณ€๋ถ„๋ฒ• (Calculus of Variations)
        • ํ†ต์‹  ๋งค์ฒด (Communication Media)
        • ํ†ต์‹  ํ”„๋กœํ† ์ฝœ (Communication Protocols)
        • ๋ณต์†Œํ–‰๋ ฌ(Complex Matrices)
        • ๋ณต์†Œ์ˆ˜ (Complex Numbers)
        • ์—ฐ์†์„ฑ (Continuity)
        • ๋”ฅ๋Ÿฌ๋‹ (Deep Learning)
        • ๋ฏธ๋ถ„ (Differentiation)
        • ๋™์  ๊ณ„ํš๋ฒ• (Dynamic Programming)
        • Eigen3 ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ๊ฐœ์š” (Overview of Eigen3 Library)
        • ํ™•์žฅ ์นผ๋งŒ ํ•„ํ„ฐ (Extended Kalman Filter, EKF)
        • ์•™์ƒ๋ธ” ์นผ๋งŒ ํ•„ํ„ฐ (Ensemble Kalman Filter)
        • ๊ฒฝ์‚ฌํ•˜๊ฐ•๋ฒ•์˜ ์ข…๋ฅ˜ (Gradient Descent Methods)
        • H-ROS (ํ•˜๋“œ์›จ์–ด ๋กœ๋ด‡ ์šด์˜ ์ฒด์ œ)
        • ํ—ˆ์ˆ˜ (Imaginary Numbers)
        • ์ •๋ณดํ•„ํ„ฐ (Information filter)
        • ์•ผ์ฝ”๋น„ ํ–‰๋ ฌ (Jacobin Matrix)
        • ์นผ๋งŒ ํ•„ํ„ฐ (Kalman Filter)
        • ์ฟ ๋ฒ„๋„คํ‹ฐ์Šค (Kubernetes)
        • ๋ผ๊ทธ๋ž‘์ฃผ(Lagrange) ์ด๋ก 
        • ๋ผํ”Œ๋ผ์Šค ๋ณ€ํ™˜ (Laplace Transform)
        • ์šฐ๋„ (Likelihood, ์šฐ๋„)
        • ์„ ํ˜•๋Œ€์ˆ˜ (Linear Algebra)
        • ๋ฆฌ๋ˆ…์Šค ์ปค๋„ (Linux Kernel)
        • ์†์‹ค ํ•จ์ˆ˜ (Loss Function)
        • ๋งˆ๋ฅด์ฝ”ํ”„ ํ™•๋ฅ  ๊ณผ์ • (Markov Stochastic Process)
        • Node.js
        • OROCOS (Open Robot Control Software)
        • ์ž…์ž ํ•„ํ„ฐ (Particle Filter)
        • ๊ฒฝ๋กœ ๊ณ„ํš (Path Planning)
        • ๊ฒฝ๋กœ ๊ณ„ํš
        • ๋กœ๋ด‡ ํผ์…‰์…˜ (Robot Perception)
        • ํฌ์ธํŠธํด๋ผ์šฐ๋“œ(PointCloud)
        • ํด๋ฆฌ ์Šค๋ฌด๋”ฉ(Poly Smoothing)
        • ๋‹ค์‹ ๊ต (Polytheism)
        • ๊ณผ์ ํ•ฉ ๋ฐฉ์ง€ (Preventing Overfitting)
        • ํ™•๋ฅ  ๋ถ„ํฌ (Probability Distribution)
        • ํŒŒ์ด์ฌ (Python)
        • ์‚ฌ์›์ˆ˜ (Quaternion)
        • ๋กœ๋ด‡ ์ œ์–ด (Robot Control)
        • ๋กœ๋ด‡์˜ ๋™๋ ฅ์› (Power Sources)
        • ROS2 (Robot Operating System 2, ๋กœ์Šค)
        • ์„ผ์„œ ํ“จ์ „ (Sensor Fusion)
        • ์„ผ์„œ (Sensors)
        • ์„ ๋ฐ•์˜ ์—ญ์‚ฌ์™€ ๋ฐœ์ „
        • SLAM (Simultaneous Localization and Mapping)
          • SLAM
          • SLAM์˜ ์—ญ์‚ฌ์  ๋ฐœ์ „๊ณผ ์ฃผ์š” ์ด์ •ํ‘œ
          • SLAM์˜ ์ค‘์š”์„ฑ (Significance of SLAM)
          • SLAM ์ดํ•ด๋ฅผ ์œ„ํ•œ ์‚ฌ์ „ ์ง€์‹
          • SLAM์˜ ์ง๊ด€์  ์ดํ•ด
          • SLAM์˜ ์žฅ์ ์— ๋Œ€ํ•œ ์‹ฌ์ธต ๋ถ„์„
          • SLAM์˜ ์ฃผ์š” ์‚ฌ์šฉ ์‚ฌ๋ก€
          • SLAM (Simultaneous Localization and Mapping)
        • Spectural Camera (๋ถ„๊ด‘ ์นด๋ฉ”๋ผ)
        • ์Œ์„ฑ ์ธ์‹ (Speech To Text)
        • ์ดˆํ•ด์ƒํ™” (Super-Resolution)
        • ์ธก๋Ÿ‰ํ•™ (Geodesy)
        • ํ…Œ์ผ๋Ÿฌ ๊ธ‰์ˆ˜ (Taylor Series)
        • ํŠธ๋žœ์Šคํฌ๋จธ(Transformer) ๋ชจ๋ธ
        • Transformer
        • ๋ฌดํ–ฅ ์นผ๋งŒ ํ•„ํ„ฐ (Unscented Kalman Filter, UKF)
        • VxWorks๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ์ด์œ 
        • ์›จ์ด๋ธ”๋ฆฟ ๋ณ€ํ™˜ (Wavelet Transform)
        • 1์žฅ: Word2Vec ๊ฐœ์š”
        • Z ๋ณ€ํ™˜ (Z-Transform)
        • complex anlysis ๋ณต์†Œ์ˆ˜ ํ•ด์„
        • math
        • sequences and limits ์ˆ˜์—ด๊ณผ ๊ทนํ•œ
      • Dart ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์–ธ์–ด ๊ฐœ์š” ๋ฐ ํŠน์„ฑ
      • Flutter: ๋ชจ๋˜ ํฌ๋กœ์Šค ํ”Œ๋žซํผ ๊ฐœ๋ฐœ์„ ์œ„ํ•œ ํ”„๋ ˆ์ž„์›Œํฌ
      • Ubuntu ํŒ
      • class
      • ๋กœ๋ด‡์— ๋Œ€ํ•œ ๊ด€์ ๊ณผ ์ •์˜
      • sensor_fusion
      • _book
    • articles
    • server_archiecture
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SLAM (Simultaneous Localization and Mapping)

SLAMchevron-rightSLAM์˜ ์—ญ์‚ฌ์  ๋ฐœ์ „๊ณผ ์ฃผ์š” ์ด์ •ํ‘œchevron-rightSLAM์˜ ์ค‘์š”์„ฑ (Significance of SLAM)chevron-rightSLAM ์ดํ•ด๋ฅผ ์œ„ํ•œ ์‚ฌ์ „ ์ง€์‹chevron-rightSLAM์˜ ์ง๊ด€์  ์ดํ•ดchevron-rightSLAM์˜ ์žฅ์ ์— ๋Œ€ํ•œ ์‹ฌ์ธต ๋ถ„์„chevron-rightSLAM์˜ ์ฃผ์š” ์‚ฌ์šฉ ์‚ฌ๋ก€chevron-rightSLAM (Simultaneous Localization and Mapping)chevron-right
Previous์ž์œจ์ฃผํ–‰ ์„ ๋ฐ•: ํ•ด์–‘ ์šด์†ก์˜ ๋ฏธ๋ž˜chevron-leftNextSLAMchevron-right

Last updated 1 year ago