7 citations · 15 across the 6 of their papers we have counts for
6 papers
Computationally Efficient Approach for Preheating of Battery Electric Vehicles before Fast Charging in Cold Climates
Ahad Hamednia, Jimmy Forsman, Nikolce Murgovski +2
This paper investigates battery preheating before fast charging, for a battery electric vehicle (BEV) driving in a cold climate. To prevent the battery from performance degradation…
LaMAR: Benchmarking Localization and Mapping for Augmented Reality
Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger +5
Localization and mapping is the foundational technology for augmented reality (AR) that enables sharing and persistence of digital content in the real world. While significant prog…
Optimal Thermal Management and Charging of Battery Electric Vehicles over Long Trips
Ahad Hamednia, Victor Hanson, Jiaming Zhao +5
This paper studies optimal thermal management and charging of a battery electric vehicle driving over long distance trips. The focus is on the potential benefits of including a hea…
Partially calibrated semi-generalized pose from hybrid point correspondences
Snehal Bhayani, Viktor Larsson, Torsten Sattler +2
In this paper we study the problem of estimating the semi-generalized pose of a partially calibrated camera, i.e., the pose of a perspective camera with unknown focal length w.r.t.…
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors
Hao Dong, Xieyuanli Chen, Mihai Dusmanu +3
A distinctive representation of image patches in form of features is a key component of many computer vision and robotics tasks, such as image matching, image retrieval, and visual…
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
Zihan Zhu, Songyou Peng, Viktor Larsson +5
Neural implicit representations have recently shown encouraging results in various domains, including promising progress in simultaneous localization and mapping (SLAM). Neverthele…