320 citations · 963 across the 78 of their papers we have counts for
8 papers · 1 filter
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
Pranav Ganti, Steven L. Waslander
In order to facilitate long-term localization using a visual simultaneous localization and mapping (SLAM) algorithm, careful feature selection can help ensure that reference points…
Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters
Christopher L. Choi, Jason Rebello, Leonid Koppel +3
Dynamic Camera Clusters (DCCs) are multi-camera systems where one or more cameras are mounted on actuated mechanisms such as a gimbal. Existing methods for DCC calibration rely on…
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation
Jungwook Lee, Sean Walsh, Ali Harakeh +1
Training 3D object detectors for autonomous driving has been limited to small datasets due to the effort required to generate annotations. Reducing both task complexity and the amo…
Unlimited Road-scene Synthetic Annotation (URSA) Dataset
Matt Angus, Mohamed ElBalkini, Samin Khan +5
In training deep neural networks for semantic segmentation, the main limiting factor is the low amount of ground truth annotation data that is available in currently existing datas…
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection
Alex D. Pon, Oles Andrienko, Ali Harakeh +1
Traffic light and sign detectors on autonomous cars are integral for road scene perception. The literature is abundant with deep learning networks that detect either lights or sign…
Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks
Nima Mohajerin, Steven L. Waslander
Recurrent Neural Networks (RNNs) can encode rich dynamics which makes them suitable for modeling dynamic systems. To train an RNN for multi-step prediction of dynamic systems, it i…