Date: Wednesday, October 30, 2019
Time: 2:00 PM Eastern Daylight Time
Sponsor: Texas Instruments
Duration: 30 Minutes
There is still some confusion in the industry about the different roles that three major sensor types – camera, radar and LIDAR – have in a vehicle, and how each can solve the sensing needs of advanced driver assistance systems (ADAS) and autonomous driving. It’s clear today that relying only on optical passive and active sensors such as cameras and LIDAR is a challenge for automakers trying to adopt effective and affordable ADAS and autonomous driving technology. In this presentation, you’ll learn why imaging radar is an effective way to achieve partial autonomy in levels 2 and 3 and may lead as the primary sensor in autonomous level 4 and 5 vehicles. In this presentation you will learn:
- How we achieve a scalable imaging radar solution using TI mmWave sensors
- Benefits of multi-mode operation between MIMO and beamforming
- How imaging radar with TI mmWave technology delivers enhanced angle resolution and distance performance up to 300m
- New four chip cascade RFCMOS Radar development kit - Imaging radar design becomes easier.
Amit Benjamin, Senior Product Manager, Texas Instruments
Amit leads the mmWave RFCMOS Radar sensor product definition and key customer engagement in the Automotive ADAS market. Professional experience also includes roles in system engineering and Sales management.