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RRT, RRG, rapidly expanding random trees, suboptimality, RRG
Principles of Autonomy Sp 25: L17 RRT
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Localization Particle Filter, importance sampling, Linear models and Kalman Filter,
Principles of Safe Autonomy: Sp 25: L13…
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Localization Bayes Filter, Histogram filter, beliefs, introduction to particle filter
Principles of Safe Autonomy: Sp 25: L12…
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Probabilistic modeling review, markov chains, conditional probability. Transition and motion models and measurement models.
Principles of Autonomy Sp25: L11 Localization,…
From Sayan Mitra
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Control, Linear Systems, Stability, Lyapunov Stability, Stability Theorem, Hurwitz criteria
Principles of Autonomy Sp 25: L10 Control, Linear…
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PID, Linear systems, solutions
Principles of Autonomy Sp25: L9: Control 2
From Sayan Mitra
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Introduction to control Solutions of ODEs, Lipschitz continuity, Bang bang control
Principles of Autonomy: Sp 25: L8 Control 1
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Forward imaging model, intrinsic and extrinsic matrices, camera calibration, perspective projection, projection matrix. Solving for the projection matrix, constrained…
Principles of Autonomy Sp 25: L6 Vision (Part 2)…
From Sayan Mitra
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Introduction to perception, classification, Neural networks for classification Gradient descent
Principles of Autonomy Sp 25 L4: Neural Networks…
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Automaton models, safety verification problem, counter-examples, and reachability.
Principles of Autonomy Sp 25: L2 Safety (Part 2)
From Sayan Mitra
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Automata, executions, requirements, testing, verification, reachable states
Principles of Autonomy Sp 25 L1: Class overview…
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Class recording
Principles of Safe Autonomy (ECE 484 AL1) Fall…
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ECE 484 Project Presentations Part 2
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Guest lecture: Bringing AI up to speed by Prof. Madhur Behl (UVa)
Guest lecture: Bringing AI up to speed by Prof.…
From Sayan Mitra
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Zoom Recording ID: 87458750007 UUID: EkhHNqzvSD+RmdfxFmlOOg== Meeting Time: 2022-04-07T15:57:58Z
ECE 484 Lectures
From Sayan Mitra
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PRM, RRT, probabilistic completeness, robustness
ECE 484 Lecture 18: Sampling based planning
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Greedy search, A search, A* search, admissibility, consistency, and optimality of heuristic functions
ECE 484 Lecture 17: Planning and search
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Safety driver training at Highbay
Safety driver training at Highbay
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BFS, DFS, Uninformed search algorithm, soundness, completeness, optimality,
ECE 484 Lecture 16: Planning 1
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ECE 484 Lectures: Localization and Filtering… 22 of 30
ECE 484 Lectures: Localization and Filtering…
Kalman filter; SLAMECE 484 Lectures: Localization and Filtering…
From Sayan Mitra
135 plays 0 -
particle filters, importance sampling, non-parametric methods
ECE 484 Lectures: Particle filters
From Sayan Mitra
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particle filters, importance sampling, non-parametric methods
ECE 484 Spring 2022: localization and filtering…
From Sayan Mitra
116 plays 0 -
Bayes' filter, beliefs, grid localization, histogram filter
ECE 484 Lectures: localization and filtering 2
From Sayan Mitra
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Bayes' filter, beliefs, grid localization, histogram filter
ECE 484 Spring 2022: Localization 2
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localization; state estimation
ECE 484 Lecture 10: localization; state…
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State estimation, terminology, setup, Bayes rule
ECE 484 Spring 2022 Lecture 10: intro to…
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Lyapunov stability, asymptotic stability, Lyapunov functions, invariance
ECE 484 Spring 2022 Lecture 9: Stability
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Lyapunov stability, asymptotic stability, Lyapunov functions, invariance
ECE 484 Lecture 9: Stability
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