no code implementations • 23 Sep 2021 • Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy
Predicting the future motion of traffic agents is crucial for safe and efficient autonomous driving.
no code implementations • 1 Dec 2020 • Yiran Zhong, Charles Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas Breuel, Hongdong Li, Jan Kautz
A common way to speed up the computation is to downsample the feature volume, but this loses high-frequency details.
4 code implementations • 26 Mar 2018 • Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield
Despite the progress on monocular depth estimation in recent years, we show that the gap between monocular and stereo depth accuracy remains large$-$a particularly relevant result due to the prevalent reliance upon monocular cameras by vehicles that are expected to be self-driving.
4 code implementations • 7 May 2017 • Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith, Stan Birchfield
We present a micro aerial vehicle (MAV) system, built with inexpensive off-the-shelf hardware, for autonomously following trails in unstructured, outdoor environments such as forests.
Robotics