3 papers
eess.SP2022
A deep learning approach for direction of arrival estimation using automotive-grade ultrasonic sensors
Mohamed Shawki Elamir, Heinrich Gotzig, Raoul Zoellner +1
In this paper, a deep learning approach is presented for direction of arrival estimation using automotive-grade ultrasonic sensors which are used for driving assistance systems suc…
cs.CV2021
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving
Sambit Mohapatra, Senthil Yogamani, Heinrich Gotzig +2
3D object detection based on LiDAR point clouds is a crucial module in autonomous driving particularly for long range sensing. Most of the research is focused on achieving higher a…
cs.NE2019
Exploring Deep Spiking Neural Networks for Automated Driving Applications
Sambit Mohapatra, Heinrich Gotzig, Senthil Yogamani +2
Neural networks have become the standard model for various computer vision tasks in automated driving including semantic segmentation, moving object detection, depth estimation, vi…