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20182023
most citedCapsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic Sensors

3 citations · 4 across the 6 of their papers we have counts for

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15 papers · 1 filter

cs.CV2023

LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving

Sambit Mohapatra, Senthil Yogamani, Varun Ravi Kumar +3

LiDAR is crucial for robust 3D scene perception in autonomous driving. LiDAR perception has the largest body of literature after camera perception. However, multi-task learning acr…

cs.CV2023

Continuous Online Extrinsic Calibration of Fisheye Camera and LiDAR

Jack Borer, Jeremy Tschirner, Florian Ölsner +1

Automated driving systems use multi-modal sensor suites to ensure the reliable, redundant and robust perception of the operating domain, for example camera and LiDAR. An accurate e…

cs.CV20211 cited

SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras

Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani +4

A 360° perception of scene geometry is essential for automated driving, notably for parking and urban driving scenarios. Typically, it is achieved using surround-view fisheye camer…

cs.CV2021

BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving

Sambit Mohapatra, Senthil Yogamani, Heinrich Gotzig +2

3D object detection based on LiDAR point clouds is a crucial module in autonomous driving particularly for long range sensing. Most of the research is focused on achieving higher a…

cs.CV2020

SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving

Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani +3

State-of-the-art self-supervised learning approaches for monocular depth estimation usually suffer from scale ambiguity. They do not generalize well when applied on distance estima…

cs.CV2020

StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks

Kai Fischer, Martin Simon, Florian Oelsner +3

Robust point cloud registration in real-time is an important prerequisite for many mapping and localization algorithms. Traditional methods like ICP tend to fail without good initi…