StradVision, a specialist in AI-based camera perception software for advanced driver assistance systems (ADAS) and autonomous vehicles (AV), is set to release its latest automotive surround view monitoring (SVM) technology. This software will allow automotive OEMs to add its SVM systems for Automatic Parking Assist (APA) and Autonomous Valet Parking (AVP) to their vehicles.
As the market demand for APA and AVP increases rapidly, StradVision has been developing new technologies for more specific and precise recognition of parking areas. It claims its SVM technology can detect various static objects including poles, ground locks and stoppers, and road signs for path planning. It also integrates other cutting-edge technologies such as Visual Simultaneous Localization and Mapping (V-SLAM), Pseudo Lidar and depth estimation for accurate map generation, road profiling and height classification.
“We have been testing our SVM solutions either through our own projects or in collaboration with external partners. Through this process, we are solving challenges in order to provide robust and stable performance, and provide strong compatibility with a wide range of system-on-chips (SoCs),” said Junhwan Kim, CEO of StradVision.
StradVision has also been developing its SVNet product, an AI-based object-recognition software that allows for ADAS and autonomous vehicles to detect and identify other vehicles, lanes, pedestrians, animals, free space, traffic signs and lights, even in harsh weather conditions or poor lighting.
SVNet is claimed to achieve much higher efficiency in memory usage and energy consumption, and can also be customized and optimized to any SoC thanks to its patented Deep Neural Network-enabled software.
The software is currently used in mass production models of ADAS and autonomous driving vehicles that support safety function Levels 2 to 4, and StradVision says it will be deployed in more than 8.8 million vehicles worldwide.
