2 papers
cs.CV2019
Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints
Andretti Naiden, Vlad Paunescu, Gyeongmo Kim +2
We propose Shift R-CNN, a hybrid model for monocular 3D object detection, which combines deep learning with the power of geometry. We adapt a Faster R-CNN network for regressing in…
cs.CV2018
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System
JeongYeol Baek, Ioana Veronica Chelu, Livia Iordache +7
Modern driver assistance systems rely on a wide range of sensors (RADAR, LIDAR, ultrasound and cameras) for scene understanding and prediction. These sensors are typically used for…