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

Autor: Khushdeep Singh Mann, Abhishek Tomy, Anshul Paigwar, Alessandro Renzaglia, Christian Laugier

Publikováno v: IV 2022-33rd IEEE Intelligent Vehicles Symposium
IV 2022-33rd IEEE Intelligent Vehicles Symposium, Jun 2022, Aachen, Germany. pp.1-6
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Reliably predicting future occupancy of highly dynamic urban environments is an important precursor for safe autonomous navigation. Common challenges in the prediction include forecasting the relative position of other vehicles, modelling the dynamic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1133f195b0234049d6ba3783396b20d6
https://hal.science/hal-03663880

Real-time Collision Risk Estimation based on Stochastic Reachability Spaces

Autor: Unmesh Patil, Alessandro Renzaglia, Anshul Paigwar, Christian Laugier

Publikováno v: ICAR 2021-International Conference on Advanced Robotics
ICAR 2021-International Conference on Advanced Robotics, Dec 2021, Ljubljana, Slovenia. pp.1-6, ⟨10.1109/ICAR53236.2021.9659485⟩
ICAR 2021-International Conference on Advanced Robotics, Dec 2021, Ljubljana, Slovenia. pp.1-6

International audience; Estimating the risk of collision with other road users is one of the most important modules to ensure safety in autonomous driving scenarios. In this paper, we propose new probabilistic models to obtain Stochastic Reachability

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27c7022acfa5e88738a62a7df935ce18
https://inria.hal.science/hal-03416222

Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR

Autor: Anshul Paigwar, Christian Laugier, Ozgur Erkent, David Sierra-Gonzalez

Publikováno v: ICCVW 2021-IEEE/CVF International Conference on Computer Vision Workshops
ICCVW 2021-IEEE/CVF International Conference on Computer Vision Workshops, Oct 2021, California, United States. pp.1-9, ⟨10.1109/ICCVW54120.2021.00327⟩
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2021, California, United States. pp.1-9, ⟨10.1109/ICCVW54120.2021.00327⟩
AVVision 2021-2nd AVVision Workshop-ICCV 2021
AVVision 2021-2nd AVVision Workshop-ICCV 2021, Oct 2021, California, United States. pp.1-9

International audience; Accurate 3D object detection is a key part of the perception module for autonomous vehicles. A better understanding of the objects in 3D facilitates better decision-making and path planning. RGB Cameras and LiDAR are the most

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba1e37a5af15f48b01bee88d134e556a
https://doi.org/10.1109/iccvw54120.2021.00327

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

Autor: Ozgur Erkent, David Sierra-Gonzalez, Anshul Paigwar, Christian Laugier

Publikováno v: IROS
IROS 2020-IEEE/RSJ International Conference on Intelligent Robots and Systems
IROS 2020-IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2020, Las Vegas, NV, United States. pp.2150-2156, ⟨10.1109/IROS45743.2020.9340979⟩

International audience; 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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eb5b49688006f044f3b7f1c369a232d
https://doi.org/10.1109/iros45743.2020.9340979

Driving Behavior Assessment and Anomaly Detection for Intelligent Vehicles

Autor: Anshul Paigwar, Alessandro Renzaglia, Danwei Wang, Chule Yang, Christian Laugier

Publikováno v: CIS-RAM 2019-9th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) Robotics, Automation and Mechatronics (RAM)
CIS-RAM 2019-9th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) Robotics, Automation and Mechatronics (RAM), Nov 2019, Bangkok, Thailand. pp.1-6
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CIS/RAM

Ensuring safety of both traffic participants and passengers is an important challenge for rapidly growing autonomous vehicle technology. To this purpose, intelligent vehicles not only have to drive safe but must be able to safeguard itself from other

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::462e945e829df0aded750738f5c76f3a
https://hal.inria.fr/hal-02355809/file/Abnormal_Driving_Behavior_CISRAM19.pdf