Programming and Language

Latest Features

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Explore the latest automotive features in MATLAB® and Simulink®.

​Perception of System Design​

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• NEW Deep Learning with Lidar: Detect and segment objects using lidar point clouds

• Lidar Sensor Model: Generate synthetic point clouds from programmatic driving scenarios

• Tracking Examples: Fuse radar and lidar tracks, perform track-to-track fusion in Simulink

• Unreal Engine® Compatible Sensor Models: Integrate your Simulink model with a camera, lidar, or radar sensor model simulating in an Unreal Engine scene

• Monocular Camera Parameter Estimation: Configure a monocular camera by estimating its extrinsic parameters

• Radar Sensor Model Enhancements: Model occlusions in radar sensors

• Sensor fusion and tracking examples

• Path Planning: Plan driving paths using an RRT* path planner and costmap

• Lidar Segmentation: Quickly segment 3D point clouds from lidar

Related Products: Automated Driving Toolbox™, Vehicle Dynamics Blockset™, Lidar Toolbox™

Test and Verification

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• New OpenDRIVE® Import/Export: Load OpenDRIVE roads into driving scenarios and convert driving scenarios to OpenDRIVE format

• New MDF Read Performance: Read large MDF files containing thousands of channels at least 30 times faster

• MDF Read on Linux®: Open and read MDF files on Linux platform 

• MDF File Information and Sorting Functions: Quickly access MDF file metadata and sort the contents of an MDF file 

• Kinematics and Compliance Virtual Test Laboratory: Generate mapped suspension calibration parameters from spreadsheet data 

• Vector BLF File Format Support: Read and write binary BLF logging files from MATLAB 

• Prebuilt Driving Scenarios: Test driving algorithms using Euro NCAP® and other prebuilt scenarios 

• Driving Scenario Designer: Interactively define actors and driving scenarios to test controllers and sensor fusion algorithms 

• Preassembled maneuvers for common ride and handling tests, including a double-lane change and constant radius test 

Related Products: Automated Driving Toolbox, Vehicle Dynamics Blockset, Vehicle Network Toolbox™

Ground Truth Labeling

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• Lidar Labeling: Label lidar point clouds to train deep learning models

• Multisignal Ground Truth Labeling: Label multiple lidars and video signals simultaneously

• Ground Truth Labeling: Organize labels by logical groups

• Define multiple custom labels in Ground Truth Labeler connector

• Ground Truth Pixel Labeling: Interactively label individual pixels in video data

• Ground Truth Label Attributes: Organize and classify ground truth labels using attributes and sublabels

Related Products: Automated Driving Toolbox

Visualization

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• New Simulation 3D Blocks: Visualize tractors and trailers in the Unreal Engine 3D environment axles

• 3D Simulation Version Upgrade: Run 3D simulations using Unreal Engine, Version 4.23

• Headless Mode: Run 3D simulations without opening the Unreal Engine 3D visualization display

• 3D Simulation: Develop, test, and verify driving algorithms in a 3D simulation environment rendered using the Unreal Engine by Epic Games®

• Unreal Engine Scenes: Use prebuilt 3D scenes, including a parking lot, highway segment, and Mcity, or create your own custom scene with the Unreal Editor

• HERE HD Live Map Reader: Read and visualize data from high-definition maps designed for automated driving applications

• Maneuver Reference Applications: Use 3D environment ray tracing to determine ground location under tires during vehicle maneuver

• Bird's-Eye Scope for Simulink: Analyze sensor coverages, detections, and tracks in your model

Related Products: Automated Driving Toolbox, Vehicle Dynamics Blockset

Electrification

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• Virtual Calibration: Use Model-Based Calibration Toolbox™ to calibrate Mapped Motor and Three-Phase Voltage Source Inverter block efficiency maps with measured data 

• Getting Started Example: Generate current controller calibration tables for flux-based motor controllers

• Libraries of propulsion, steering, suspension, vehicle body, brake, and tire components

• Flux-Based Motor Parameterization: Generate parameters for Flux-Based PMSM and Flux-Based PM Controller blocks​

• Battery Parameterization: Generate parameters for Datasheet Battery and Equivalent Circuit Battery blocks

Related Products: Vehicle Dynamics Blockset, Powertrain Blockset™, Model-Based Calibration Toolbox, Simscape Electrical®

Engine Calibration

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• New Design of Experiments: Add points for engine calibrations at operating boundary

• Deep Learning Engine Model: Generate a deep learning engine model for algorithm design and performance, fuel economy, and emissions analysis

• ASAM CDFX File Format Support: Import, export, and modify files in calibration data file format (CDFX)

• Timestamp Support for XCP Blocks: Communicate timestamped data between Simulink models and XCP slaves

• Virtual Calibration: Use Model-Based Calibration Toolbox to calibrate SI and CI mapped engine blocks

• CI and SI Engine Dynamometer Reference Applications: Resize engines and recalibrate controllers based on desired engine displacement and number of cylinders

Related Products: Model-Based Calibration Toolbox, Vehicle Dynamics Blockset, Powertrain Blockset, Vehicle Network Toolbox

Fuel Economy and Performance Analysis

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• New ECMS Block: Model equivalent consumption minimization strategy for hybrid electric vehicle control

• New Spark Ignition Reference Applications: Configure your engine model architecture (inline or V), air path (turbocharged or naturally aspirated), and EGR (with or without)

• New Vehicle and Trailer Blocks: Implement 3DOF or 6DOF trailers and vehicles with three axles 

• Transmission Control Module: Optimize shift schedules for algorithm design and performance, fuel economy, and emissions analysis 

• HEV Reference Applications: New or updated reference applications for single-motor HEV architectures P0, P1, P2, P3, and P4. Fully assembled models use a new equivalent consumption minimization strategy (ECMS) for the supervisory hybrid control 

• Powertrain Efficiency: Evaluate and report energy and power losses at the component and system level 

• HEV Input Power-Split Reference Application: Use fully assembled model for HIL testing, tradeoff analysis, and control parameter optimization of a power-split hybrid like the Toyota Prius

Related Products: Powertrain Blockset, Vehicle Dynamics Blockset

AUTOSAR

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• New AUTOSAR Classic Release 4.4: Use schema version 4.4 for import and export of ARXML files and generation of AUTOSAR-compliant C code

• New Execution Order Constraints: Import and Export ARXML files with execution order constraints for software component runnables

• New Architecture Models: Import ARXML descriptions of AUTOSAR software compositions into architecture models (requires System Composer)

• AUTOSAR Adaptive Release 19-03: Use the 000047 (R19-03) schema to import and export ARXML files and generate AUTOSAR-compatible C ++ code 

• Blocks for Basic Software Services: Use blocks for modeling and simulating Basic Software services, including Diagnostic Event, Function Inhibition and NVRAM Manager blocks 

• Create AUTOSAR Architecture Models: Author AUTOSAR compositions, view component/composition dependencies via spotlights, and simulate functional behavior with basic software services using Composition Editor (requires System Composer™). Then you can generate and package composition ARXML descriptions and component code (requires Embedded Coder®). 

Related Products: AUTOSAR Blockset™