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Demo files used in MathWorks Automotive Conference 2018, Automated Driving session

version 1.0.0.0 (782 KB) by Kei Otsuka
Script files and Simulink model used in MathWorks Automotive Conference 2018

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Updated 09 Jul 2018

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[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

Comments and Ratings (1)

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux

DemoFiles/d5_Scenario/