125 citations · 543 across the 31 of their papers we have counts for
33 papers
Learning to Detect Mobile Objects from LiDAR Scans Without Labels
Yurong You, Katie Z Luo, Cheng Perng Phoo +5
Current 3D object detectors for autonomous driving are almost entirely trained on human-annotated data. Although of high quality, the generation of such data is laborious and costl…
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…
Accelerated consensus in multi-agent networks via memory of local averages
Aditya Bhaskar, Shriya Rangarajan, Vikram Shree +2
Classical mathematical models of information sharing and updating in multi-agent networks use linear operators. In the paradigmatic DeGroot model, agents update their states with l…
Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling
Josephine Monica, Wei-Lun Chao, Mark Campbell
Shape and pose estimation is a critical perception problem for a self-driving car to fully understand its surrounding environment. One fundamental challenge in solving this problem…
Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning
Vikram Shree, Beatriz Asfora, Rachel Zheng +3
The ability to develop a high-level understanding of a scene, such as perceiving danger levels, can prove valuable in planning multi-robot search and rescue (SaR) missions. In this…
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…