INU Researchers Develop Novel Deep Learning-Based Detection System for Autonomous Vehicles
GWANGJU, South Korea, Dec. 1, 2023 /PRNewswire/ -- Autonomous vehicles hold the promise of tackling traffic congestion, enhancing traffic flow through vehicle-to-vehicle communication, and revolutionizing the travel experience by offering comfortable and safe journeys. Additionally, integrating autonomous driving technology into electric vehicles could contribute to more eco-friendly transportation solutions.
- The new system, aided by the Internet of things, improves the detection capabilities of autonomous vehicles even under unfavorable conditions.
- A critical requirement for the success of autonomous vehicles is their ability to detect and navigate around obstacles, pedestrians, and other vehicles across diverse environments.
- "Our proposed system operates in real time, enhancing the object detection capabilities of autonomous vehicles, making navigation through traffic smoother and safer," explains Prof. Jeon.
- Prof. Jeon emphasizes the potential impact of this enhanced detection capability: "By improving detection capabilities, this system could propel autonomous vehicles into the mainstream.