Demo files used in MathWorks Automotive Conference 2018, Automated Driving session
[Japanese]
2018年7月3日に開催されたMathWorks Automotive Conference 2018のセッション、
"ADAS・自動運転の開発と検証を加速するMATLAB"にて使用されたスクリプトファイル及びSimulinkモデルです。
Script files and Simulink model used in MathWorks Automotive Conference 2018, Automated Driving with MATLAB session(in Japanese).
[English]
1. d1_LiDAR\myGroundPlaneAndObstacleDetectionUsingLidarExample.m
Ground Plane Detection and Segmentation Using LiDAR Data
2. d2_Vision\MonoCameraExample_J.m
Monocular Camera Sensor Design and Visual Perception
3. d3_GTL\runGTLdemos.m
Add Custom Label Automation Algorithm and Connect LiDAR Display to Ground Truth Labeler
4. d4_Fusion\ForwardCollisionWarningTrackingExample_J.m
Forward Collision Warning Using Sensor Fusion
5. d5_Scenario\scenarioAutoStop_ENCAP.slx
Simulate Autonomous Emergency Braking System with Euro NCAP TEST PROTOCOL
[Keyward]
画像処理・自動運転・ADAS・LiDAR・ディープラーニング・DeepLearning・デモ・IPCVデモ・ニューラルネットワーク・テストシナリオ
Cite As
Kei Otsuka (2024). Demo files used in MathWorks Automotive Conference 2018, Automated Driving session (https://www.mathworks.com/matlabcentral/fileexchange/67839-demo-files-used-in-mathworks-automotive-conference-2018-automated-driving-session), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
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- Robotics and Autonomous Systems > Automated Driving Toolbox >
- Automotive > Automated Driving Toolbox >
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DemoFiles/d1_LiDAR/
DemoFiles/d2_Vision/
DemoFiles/d3_GTL/
DemoFiles/d4_Fusion/
DemoFiles/d4_Fusion/preProcess/
DemoFiles/d5_Scenario/
DemoFiles/d5_Scenario/
Version | Published | Release Notes | |
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1.0.0.0 |