Imagine the day when you can leave your car at home and use an app for it to drive itself. No more worrying about forgetting something crucial in another room, or having someone park close by while they go into a store - just hit "park" on Google Maps (or whatever service is being used) & wait until its done.
Seoul Robotics is using advanced NVIDIA technology to turn non-autonomous cars into self driving vehicles.
Headquartered in Korea, the company's initial focus is on improving first- and last mile logistics such as parking. Their Level 5 Control Tower system uses sensors placed around a facility like buildings or light poles which capture an unobstructed view of its environment to monitor everything from traffic flow inside each building all way down into individual car parks.
The system enables cars to move autonomously by directing their vehicle-to everything, or so called V2X communication. These systems pass information from a car's interior and exterior sensors as well as other vehicles.
The Korean company, Seoul Robotics has created a platform that uses 3D data from cameras and lidar. The AI then analyzes this information to find the safest path for vehicles within your covered area with computer vision deep learning techniques.
The future of driving is coming faster than you think!
In just a few short years, cars will be able to communicate with one another and their surroundings. This means that when your car senses an obstacle in its path like traffic ahead or obstacles on either side-it can automaticall switch over into “ Hazard Mode” which helps drivers avoid any problems by warning them about potential collisions before they happen.
As industries like transportation and logistics become increasingly complex, it's crucial to have new technology that can keep up. That’s where NVIDIA comes in- they designate universities with cutting edge research teams so their engineers are always just a few short steps ahead of what researchers need next this helps them stay competitive while also providing customers tools for success.
The above passage discusses how LV5 CTRL TWR used CUDA libraries created by NVIDEAs GPU architecture which makes these applications run faster on CPU computers.