Automotive - Latest Features - MATLAB & Simulink

Latest Features

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

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

New 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
MDF File Import Performance: Open and read MDF files significantly faster than in previous releases
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
OpenDRIVE^® File Import Support: Load OpenDRIVE roads into a driving scenario
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

New Lidar labeling: Label lidar point clouds to train deep learning models
New Multisignal Ground Truth Labeling: Label multiple lidar 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

New 3D Simulation Version Upgrade: Run 3D simulations using Unreal Engine, Version 4.23
New 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
Unreal Engine 4 Interface: Use support package to customize and install additional 3D scenes
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

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

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

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

New AUTOSAR Adaptive Platform 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^®).
AUTOSAR SW-C App: Easily configure a model as AUTOSAR classic component or adaptive application

Related Products: AUTOSAR Blockset™