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


  • 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


  • 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