Solution Study
Thursday, June 29
12:00 PM - 12:30 PM
Live in San Francisco
Less Details
Most of running surround monitoring solutions are viewing with moving object detection technology only. Here we would like to share our solution to use 4 existing fisheye cameras on vehicle to do 3D surround free-angle stitching for driver. Furthermore, we use computer vision plus deep learning technology to recongnize the surrounding objects‘ position and moving track. With such kind of information, warning or control system can provide more accurate feedback without too much false alert.
You will learn about:
Darren is the head of vision software at LITE-ON Technology Corporation, focusing on the research and development of automotive software for ADAS solutions. Darren is also leading the technical marketing team to develop the new business about the automotive sensors which LITEON design and manufacture for OEM & Tier1. Prior to joining LITEON, Darren was the special assistant to general manager of automotive BU at Philips LITEON Digital Solutions, and joint-developed the Head-Up Display, wireless charger, ultrasonic sensor, and then led radar & LiDAR pre-developing projects. Darren has a master’s degree in engineering science from the National Cheng-Kung University, Taiwan.
The Pop in Your Job – What drives you? Why do you love your topic?
There are many traffic accidents in the city because too many pedestrians, cyclists and scooters are sharing the road space. Even with AVM support, there are too many false alerts and creating noise to driver. At the end, this function can be turn off by this reason and fail to provide aid. We try to enhance it and make it more stable to continuous work for driver.