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| 0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url |
377б |
| 01. 01 SF Welcome V1-OkVTmqAXlNE.en.vtt |
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| 01. 01 SF Welcome V1-OkVTmqAXlNE.mp4 |
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| 01. 04 Sensor Fusion A01 The Benefits Of Sensors-zHe-uogin5U.en.vtt |
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| 01. 04 Sensor Fusion A01 The Benefits Of Sensors-zHe-uogin5U.ja-JP.vtt |
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| 01. 04 Sensor Fusion A01 The Benefits Of Sensors-zHe-uogin5U.mp4 |
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| 01. 04 Sensor Fusion A04 Kalman Filters In C++-Hsvzm7zDG_A.en.vtt |
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| 01. 04 Sensor Fusion A04 Kalman Filters In C++-Hsvzm7zDG_A.ja-JP.vtt |
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| 01. 04 Sensor Fusion A04 Kalman Filters In C++-Hsvzm7zDG_A.mp4 |
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| 01. 05 Sensor Fusion Intro V1-EyTyFl9sSLs.en.vtt |
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| 01. 05 Sensor Fusion Intro V1-EyTyFl9sSLs.mp4 |
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| 01. Clustering and Tracking.html |
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| 01. Clutter, CFAR, AoA.html |
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| 01. Collision Detection Basics.html |
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| 01. FAQ.html |
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| 01. Final Project Walkthrough-DIVmHps0G8M.en.vtt |
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| 01. Final Thoughts.html |
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| 01. FP C6.1 Atom1 (HS, SC)-ghUqSPmPuZA.mp4 |
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| 01. Get Opportunities with LinkedIn.html |
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| 01. Getting Help.html |
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| 01. Intensity Gradient and Filtering.html |
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| 01. IntrinsicCameraParameters-Cu-VRkG1sY4.mp4 |
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| 01. Introduction.html |
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| 01. Introduction.html |
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| 01. Kalman Filter Introduction-2zmbIjHpkRM.zh-CN.vtt |
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| 01. Kalman Filters in C++.html |
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| 01. L1A01 Welcome (Retake)--OLpJvpsZtI.en.vtt |
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| 01. Levels of Autonomous Driving.html |
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| 01. Lidar-to-Camera Point Projection.html |
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| 01. Load Real PCD.html |
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| 01. Mid-Term Project Introduction.html |
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| 01. ND313 Andrei Intv 05 Why Do Self Driving Cars Specifically Use Radar-bHSdfsTz-ts.en.vtt |
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| 01. ND313 Andrei Intv 05 Why Do Self Driving Cars Specifically Use Radar-bHSdfsTz-ts.mp4 |
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| 01. ND313 C1 L1 A01 Welcome!-f4bx0tzpBBU.en.vtt |
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| 01. ND313 C1 L1 A01 Welcome!-f4bx0tzpBBU.mp4 |
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| 01. ND313 C1 L2 A01 Segmentation Introduction-AtkxjX4F2pU.en.vtt |
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| 01. ND313 C1 L2 A01 Segmentation Introduction-AtkxjX4F2pU.mp4 |
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| 01. ND313 C1 L4 A01 Intro Working With Real PCD--cfbvWL3q86Q.en.vtt |
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| 01. ND313 Michael Intv 15 What Is Clustering-w7EmEiKPMeQ.en.vtt |
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| 01. ND313 Michael Intv 15 What Is Clustering-w7EmEiKPMeQ.mp4 |
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| 01. ND313 Timo Intv 16 How Do You Verify The Reliability And Safety Of Sens Fus-zSFsTJRUDQI.en.vtt |
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| 01. ND313 Timo Intv 16 How Do You Verify The Reliability And Safety Of Sens Fus-zSFsTJRUDQI.mp4 |
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| 01. Overview.html |
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| 01. Part1-zV8MENLn0M0.en.vtt |
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| 01. Project Overview.html |
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| 01. Prove Your Skills With GitHub.html |
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| 01. Range, Velocity, and Angle Resolution.html |
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| 01. Segmentation.html |
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| 01. Self-Reflection Design Your Blueprint for Success.html |
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| 01. Sensor Fusion.html |
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| 01. Submitting Your Project.html |
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| 01. Submitting Your Project.html |
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| 01. The Benefits of Sensors.html |
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| 01. Welcome!.html |
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| 01. Welcome!.html |
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| 01. Welcome.html |
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| 01. Welcome to the Course!.html |
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| 01. What is Clustering.html |
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| 01. Why Network-exjEm9Paszk.ar.vtt |
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| 01. Why Use Radar.html |
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| 02. 02 SF PreReqs V1-a8aQR0MvnZI.en.vtt |
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| 02. 02 SF PreReqs V1-a8aQR0MvnZI.mp4 |
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| 02. 06 Sensors V1-Y_jzq22_2Rw.en.vtt |
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| 02. 2 Range Calculation-0YQ8uR-cgvw.mp4 |
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| 02. Additional Project Details.html |
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| 02. Autonomous Vehicle Sensor Sets.html |
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| 02. Clustering.html |
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| 02. Clustering Obstacles.html |
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| 02. Clutter.html |
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| 02. Code Overview.html |
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| 02. CTRV-g72HXEcSQHU.en.vtt |
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| 02. Debrief Self-Reflection Exercise Part 1.html |
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| 02. Estimating TTC with Lidar.html |
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| 02. FP C6.2 Atom1 (HS, SC)-0yJ7gE2JMcw.en.vtt |
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| 02. FP C6.2 Atom1 (HS, SC)-0yJ7gE2JMcw.mp4 |
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| 02. Haris Corner Detection.html |
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| 02. Intro.html |
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| 02. Introduction.html |
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| 02. Introduction.html |
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| 02. Introduction And Overview-G57ZvTBAUL8.en.vtt |
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| 02. Introduction And Overview-G57ZvTBAUL8.mp4 |
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| 02. Introduction to Andrei.html |
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| 02. Introduction to Timo.html |
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| 02. Job Titles.html |
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| 02. Knowledge.html |
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| 02. L1A05 Radar Sensor-jpJT85km4jA.en.vtt |
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| 02. L1A05 Radar Sensor-jpJT85km4jA.mp4 |
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| 02. L2A05 Range Estimation Equation (Split From L2A01)-S004gIu6rfQ.en.vtt |
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| 02. L2A05 Range Estimation Equation (Split From L2A01)-S004gIu6rfQ.mp4 |
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| 02. L3A13 Clutter-99Fi7a1gQ_Y.en.vtt |
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| 02. L4A21 Clustering - Concept V2-SDNwQyh5N3M.en.vtt |
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| 02. L4A27 - Example-D3p78EEzjyU.en.vtt |
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| 02. L5 C5.2 Atom1 (HS)-ZpyEq_U4pRY.en.vtt |
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| 02. Load PCD.html |
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| 02. MBRDNA Introduction.html |
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| 02. Meet Chris-0ccflD9x5WU.ar.vtt |
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| 02. Michael on Detection and Segmentation.html |
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| 02. ND312 C1 L3 A01 Clustering Obstacles - Concept-QCb00ohqITw.en.vtt |
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| 02. ND313 Andrei Intv 13 How Does A Radar Detect Objects-9aHn6wjXiZM.en.vtt |
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| 02. ND313 Andrei Intv 21 What Is Clutter And How Do You Overcome It-upjmf4iSiH0.en.vtt |
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| 02. ND313 Michael Intv 01 And 02 Who Are You And Role-UkDzLSIVQ0U.en.vtt |
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| 02. ND313 Michael Intv 13 How Do You Use Lidar To Detect Object In Environment V2-E3qIeLVy6Uw.mp4 |
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| 02. ND313 Timo Intv 28 Are Stereo Cameras Useful-adI6LK3S97U.en.vtt |
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| 02. ND313 Timo Intv 28 Are Stereo Cameras Useful-adI6LK3S97U.mp4 |
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| 02. Object Detection with YOLO.html |
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| 02. Prerequisites.html |
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| 02. Range Estimation.html |
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| 02. Sensors.html |
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| 02. Support.html |
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| 02. Target Generation and Detection.html |
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| 02. The CTRV Model.html |
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| 02. The Data Buffer.html |
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| 02. The Radar Sensor.html |
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| 02. Tracking Intro.html |
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| 02. Use Your Story to Stand Out.html |
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| 03. Camera Technology Overview.html |
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| 03. CFAR.html |
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| 03. Challenges with Real World Lidar.html |
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| 03. Courses.html |
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| 03. Debrief Self-Reflection Exercise Part 2.html |
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| 03. Doppler Estimation.html |
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| 03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt |
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| 03. Estimating TTC with a Camera.html |
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| 03. Euclidean Clustering with PCL.html |
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| 03. FFT Operation.html |
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