Accelerating Automated Driving Hardware and Software Development using MATLAB & Simulink

Overview

ADAS and autonomous driving systems are redefining the automotive industry and changing all aspects of transportation, from daily commutes to long-haul trucking. This emerging megatrend has redefined the requirements for sensors and compute platforms leading to the development of new technologies such as deep learning, sensor fusion, lidar, and V2X. Additionally, developing hardware and software solutions for ADAS applications is challenging to validate due to the vast, complex, and diverse set of scenarios that need to be covered during testing.

MATLAB & Simulink provides many reference examples and prebuilt algorithms for computer vision, radar, lidar processing, sensor fusion, path planning, and controls to accelerate the design of automated driving system functionalities. For early verification of the hardware and software functionality of these systems you can integrate EDA simulation environments with synthetic sensor models and roads scenarios to perform virtual field tests in simulation.

Highlights

• Sensor modelling and perception algorithm development around vision, radar & lidar sensors
• Sensor fusion and tracking for localization and object tracking
• Planning and controls for ADAS applications (AEB, ACC, LKA, etc.)
• Virtual scenario creation and sensor modeling for closed loop simulation
• Prototyping and early verification using automatic code generation and EDA tool integration
• Integration workflows for Python, ROS, CARLA

About the Presenters

Dr Rishu Gupta is a senior application engineer at MathWorks India. He primarily focuses on automated driving and artificial intelligence domains. Rishu has over 10+ years of experience working on applications related to visual contents. He has previously worked as a scientist at LG Soft India in the Research and Development unit.

Sumit Garg is a Senior Application Engineer at MathWorks India specializing in design analysis and implementation of Radar signal processing and data processing applications. He works closely with customers across domains to help them use MATLAB^® and Simulink^® in their workflows. He has over nine years of industrial experience in the design and development of hardware and software applications in the radar domain. He has been a part of the complete lifecycle of projects pertaining to aerospace and defense applications. Prior to joining MathWorks, he worked for Bharat Electronics Limited (BEL) and Electronics and Radar Development Establishment (LRDE) as a senior engineer.