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Carl K. Wellington

3 accepted papers

2021

LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting

RA-L 2021

In this work, we present LaserFlow, an efficient method for 3D object detection and motion forecasting from LiDAR. Unlike the previous work, our approach utilizes the native range view representation of the LiDAR, which enables our method to operate at the full range of the sensor in real-time witho

Cited by 46SourceScholar
2021

RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting

IROS 2021poster

Robust real-time detection and motion forecasting of traffic participants is necessary for autonomous vehicles to safely navigate urban environments. In this paper, we present RV-FuseNet, a novel end-to-end approach for joint detection and trajectory estimation directly from time-series LiDAR data.…

Cited by 19SourceScholar
2019

LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving

CVPR 2019poster

In this paper, we present LaserNet, a computationally efficient method for 3D object detection from LiDAR data for autonomous driving. The efficiency results from processing LiDAR data in the native range view of the sensor, where the input data is naturally compact. Operating in the range view invo…

Cited by 440PDFScholar