Latest Features
Explore the latest automotive features in MATLAB® and Simulink®.
Perception System Design
- New Monocular Camera Parameter Estimation: Configure a monocular camera by estimating its extrinsic parameters
- New Radar Sensor Model Enhancements: Model occlusions in radar sensors
- New Sensor fusion and tracking examples
- Path Planning: Plan driving paths using an RRT* path planner and costmap
- Lidar Segmentation: Quickly segment 3-D point clouds from lidar
Related Products: Automated Driving System Toolbox™, Vehicle Dynamics Blockset™
Test and Verification
- New Prebuilt Driving Scenarios: Test driving algorithms using Euro NCAP and other prebuilt scenarios
- New 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 vehicle dynamics models for passenger cars and trucks
- Preassembled maneuvers for common ride and handling tests, including a double-lane change
Related Products: Automated Driving System Toolbox, Vehicle Dynamics Blockset
Ground-Truth Labeling
- New 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 System Toolbox
Visualization
- New Unreal Engine 4 Interface: Use support package to customize and install additional 3D scenes
- New Maneuver Reference Applications: Use 3D environment ray tracing to determine ground location under tires during vehicle maneuver
- New Bird's-Eye Scope for Simulink: Analyze sensor coverages, detections, and tracks in your model
- Streaming Geographic Map Display: Visualize a geographic route on a map
- 3D environment for visualizing simulations and communicating scene information to Simulink
- Prebuilt 3D scenes, including straight roads, curved roads, and parking lots
Related Products: Automated Driving System Toolbox, Vehicle Dynamics Blockset
Electrification
- Getting Started Example: Generate current controller calibration tables for flux-based motor controllers
- Libraries of propulsion, steering, suspension, vehicle body, brake, and tire components
- Electric Motor Controllers: Calculate inverter electrical losses
- Flux-Based Motor Parameterization: Generate parameters for Flux-Based PMSM and Flux-Based PM Controller blocks
- Battery Blocks: Input rated capacity at nominal temperature
- Battery Parameterization: Generate parameters for Datasheet Battery and Equivalent Circuit Battery blocks
Related Products: Vehicle Dynamics Blockset, Powertrain Blockset™, Model-Based Calibration Toolbox™
Engine Calibration
- New Virtual Calibration: Use Model-Based Calibration Toolbox to calibrate SI and CI mapped engine blocks
- New CI and SI Engine Dynamometer Reference Applications: Resize engines and recalibrate controllers based on desired engine displacement and number of cylinders
- Optimization: Streamlined setup and improved modal optimization
- Engine Data Import: Use engine test data to calibrate mapped engines in CI and SI engine dynamometer reference applications
Related Products: Model-Based Calibration Toolbox, Vehicle Dynamics Blockset, Powertrain Blockset
Fuel Economy and Performance Analysis
- New HEV P2 Reference Application: Use fully assembled model for HIL testing, tradeoff analysis, and control parameter optimization of a P2 hybrid electric vehicle
- 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
- Fully assembled models for gasoline, diesel, hybrid, and electric powertrains
Related Products: Powertrain Blockset
