5 citations · 7 across the 4 of their papers we have counts for
5 papers
Better Monocular 3D Detectors with LiDAR from the Past
Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz +5
Accurate 3D object detection is crucial to autonomous driving. Though LiDAR-based detectors have achieved impressive performance, the high cost of LiDAR sensors precludes their wid…
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions
Carlos A. Diaz-Ruiz, Youya Xia, Yurong You +11
Advances in perception for self-driving cars have accelerated in recent years due to the availability of large-scale datasets, typically collected at specific locations and under n…
Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking
Vikram Shree, Carlos Diaz-Ruiz, Chang Liu +2
This paper focuses on the problem of decentralized pedestrian tracking using a sensor network. Traditional works on pedestrian tracking usually use a centralized framework, which b…
Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar
Brian H. Wang, Carlos Diaz-Ruiz, Jacopo Banfi +1
We present a method for detecting and mapping trees in noisy stereo camera point clouds, using a learned 3-D object detector. Inspired by recent advancements in 3-D object detectio…
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection
Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang +4
Self-driving cars must detect other vehicles and pedestrians in 3D to plan safe routes and avoid collisions. State-of-the-art 3D object detectors, based on deep learning, have show…