320 citations · 963 across the 78 of their papers we have counts for
8 papers · 1 filter
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection
Jordan S. K. Hu, Steven L. Waslander
Autonomous driving datasets are often skewed and in particular, lack training data for objects at farther distances from the ego vehicle. The imbalance of data causes a performance…
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction
Samuel Looper, Steven L. Waslander
Model-based control methods for robotic systems such as quadrotors, autonomous driving vehicles and flexible manipulators require motion models that generate accurate predictions o…
Bayesian Embeddings for Few-Shot Open World Recognition
John Willes, James Harrison, Ali Harakeh +3
As autonomous decision-making agents move from narrow operating environments to unstructured worlds, learning systems must move from a closed-world formulation to an open-world and…
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking
Jun Yang, Yizhou Gao, Dong Li +1
In robotic bin-picking applications, the perception of texture-less, highly reflective parts is a valuable but challenging task. The high glossiness can introduce fake edges in RGB…
Categorical Depth Distribution Network for Monocular 3D Object Detection
Cody Reading, Ali Harakeh, Julia Chae +1
Monocular 3D object detection is a key problem for autonomous vehicles, as it provides a solution with simple configuration compared to typical multi-sensor systems. The main chall…
Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking
Jun Yang, Dong Li, Steven L. Waslander
The reliable fusion of depth maps from multiple viewpoints has become an important problem in many 3D reconstruction pipelines. In this work, we investigate its impact on robotic b…