In this paper, we present a fast, lightweight odometry method that uses ...
In this paper, we present an algorithm for learning time-correlated
meas...
Frequency-Modulated Continuous-Wave (FMCW) lidar is a recently emerging
...
Radar is a rich sensing modality that is a compelling alternative to lid...
The Boreas dataset was collected by driving a repeated route over the co...
This paper presents a radar odometry method that combines probabilistic
...
We present unsupervised parameter learning in a Gaussian variational
inf...
The SAE AutoDrive Challenge is a three-year collegiate competition to de...
We present parameter learning in a Gaussian variational inference settin...
This paper presents a model-free, setting-independent method for online
...
Simultaneous trajectory estimation and mapping (STEAM) offers an efficie...
This paper presents a novel technique to correct for bias in a classical...