Turan noted that they propose a deep learning-based self-supervised approach for ego-motion estimation -- a robust and complementary localization solution under inclement weather conditions.
The proposed approach is a geometry-aware method that attentively fuses the rich representation capability of visual sensors and the weather-immune features provided by radars using an attention-based learning technique.
The dream of fully autonomous driving is very unlikely to become a reality in the next 10-15 years, he said, explaining: "While training the artificial intelligence algorithms for autonomous driving, it is impossible to create a data repository to cover all exceptional circumstances that a driver may encounter."
"Although technology giants such as Tesla and Google are leading the autonomous driving technology, they are still limited to relatively small-scale trials," he added.
