2 papers
cs.CV2022
NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving
Alexander Popov, Patrik Gebhardt, Ke Chen +5
Detecting obstacles is crucial for safe and efficient autonomous driving. To this end, we present NVRadarNet, a deep neural network (DNN) that detects dynamic obstacles and drivabl…
cs.CV2020
End-to-End Lane Marker Detection via Row-wise Classification
Seungwoo Yoo, Heeseok Lee, Heesoo Myeong +4
In autonomous driving, detecting reliable and accurate lane marker positions is a crucial yet challenging task. The conventional approaches for the lane marker detection problem pe…