TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction

Autor: Gustavo Salazar-Gomez, David Sierra-Gonzalez, Manuel Diaz-Zapata, Anshul Paigwar, Wenqian Liu, Ozgur Erkent, Christian Laugier

Publikováno v: ICARCV 2022-17th International Conference on Control, Automation, Robotics and Vision
ICARCV 2022-17th International Conference on Control, Automation, Robotics and Vision, Dec 2022, Singapore, Singapore. pp.1-6

International audience; Semantic grids are a succinct and convenient approach to represent the environment for mobile robotics and autonomous driving applications. While the use of Lidar sensors is now generalized in robotics, most semantic grid pred

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e27400a74da84053f1a6e0dc2b480af
https://inria.hal.science/hal-03768008

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

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

Publikováno v: 2022 IEEE International Conference on Robotics and Automation (ICRA 2022)
ICRA 2022-IEEE International Conference on Robotics and Automation
ICRA 2022-IEEE International Conference on Robotics and Automation, May 2022, Philadelphia, United States
HAL

International audience; 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. Traditional RGB-based det

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa7b640338e081e8b4b001220ad9d4f9
https://hal.science/hal-03591717

GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids

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

Publikováno v: ICCV 2021-International Conference on Computer Vision
ICCV 2021-International Conference on Computer Vision, Oct 2021, Virtual Conference, Austria. pp.1-14
Lecture Notes in Computer Science ISBN: 9783030871550
ICVS
ICVS 2021-International Conference on Vision Systems
ICVS 2021-International Conference on Vision Systems, Oct 2021, Virtual Conference, Austria. pp.1-14, ⟨10.1007/978-3-030-87156-7_15⟩

International audience; Multiple Object Tracking is an important task for autonomous vehicles. However, it gets difficult to track objects when it is hard to detect them due to occlusion or distance to the sensors. We propose a method, "GridTrack", t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::153c4079db57f72c54d0a51c37e369a1
https://hal.inria.fr/hal-03335282

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
HAL
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