Search Results for author: Anshul Paigwar

Found 6 papers, 6 papers with code

Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning

1 code implementation6 May 2022 Khushdeep Singh Mann, Abhishek Tomy, Anshul Paigwar, Alessandro Renzaglia, Christian Laugier

Reliably predicting future occupancy of highly dynamic urban environments is an important precursor for safe autonomous navigation.

Autonomous Navigation Position

Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions

1 code implementation ICRA 2022 Abhishek Tomy, Anshul Paigwar, Khushdeep Singh Mann, Alessandro Renzaglia, Christian Laugier

The ability to detect objects, under image corruptions and different weather conditions is vital for deep learning models especially when applied to real-world applications such as autonomous driving.

Adversarial Attack Autonomous Driving +7

GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous Vehicles

1 code implementation15 Nov 2020 Anshul Paigwar, Özgür Erkent, David Sierra González, Christian Laugier

Ground plane estimation and ground point seg-mentation is a crucial precursor for many applications in robotics and intelligent vehicles like navigable space detection and occupancy grid generation, 3D object detection, point cloud matching for localization and registration for mapping.

3D Object Detection Autonomous Vehicles +4

Attentional PointNet for 3D-Object Detection in Point Clouds

1 code implementation14 Jun 2019 Anshul Paigwar, Özgür Erkent, Christian Wolf, Christian Laugier

In this study, we propose Attentional Point- Net, which is a novel end-to-end trainable deep architecture for object detection in point clouds.

3D Object Detection Autonomous Navigation +2

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