IB Computer Science - Paper 3 - Case Study (2024) - Rescue Robots

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Link to original case study: https://drive.google.com/file/d/1wqpg...

00:00 - Intro
01:00 - The BotRobot Case Study Scenario
01:47 - The Challenges
04:05 - Technical Intro
06:24 - vSLAM
08:37 - LIDAR (Light Detection and Ranging)
10:59 - IMU (Inertial Measurement Unit)
13:47 - Dead Reckoning & Drift
19:09 - The vSLAM Process
23:17 - The Hardware Setup
24:35 - The vSLAM Algorithm
29:50 - Relocalization & Global Map Optimization
32:14 - Map Optimization
32:34 - Bundle Adjustment
40:29 - Keyframe Selection
43:16 - Bundle Adjustment vs. Keyframe Selection
45:00 - vSLAM Advantages & Disadvantages
47:36 - Occlusions
48:07 - Multiple Cameras
50:00 - Pose Estimation
51:25 - Keypoint Identification Models
52:55 - Pose Estimation Methods
57:11 - Bottom-Up Advantages & Disadvantages
58:58 - Top-down Approach
59:59 - Top-down Advantages & Disadvantages
1:01:10 - Top-down vs. Bottom-Up
1:02:04- Increased Accuracy in HPE: Advantages & Tradeoffs
1:04:05 - Front-end to Back-end Communication
1:08:42 - Edge Computing
1:11:08 - Edge Computing Advantages & Disadvantages
1:13:55 - Further Research
1:14:05 - Sensor Fusion
1:17:16 - Rescue Robot Swarms
1:19:44 - Intelligent Network Infrastructure
1:21:29 - Real-World Scenario: Ukraine
1:29:49 - Social & Ethical Considerations
1:32:29 - Wrap Up