default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAutonomous Vehicles and Machines 2022
- Patrick Denny, Robin B. Jenkin, Peter van Beek:
Autonomous Vehicles and Machines 2022, online, January 15-26, 2022. Society for Imaging Science and Technology 2022
Front Matter
- Autonomous Vehicles and Machines 2022 Conference Overview and Papers Program.
Article
- Mattis Brummel, Patrick Müller, Alexander Braun:
Spatial precision and recall indices to assess the performance of instance segmentation algorithms. 1-6 - Brian M. Deegan
:
A review of IEEE P2020 flicker metrics. 1-6 - Orit Skorka, Paul Romanczyk:
A review of IEEE P2020 noise metrics. 1-6 - Marius Dupuis:
Paving the way for certified performance: Quality assessment and rating of simulation solutions for ADAS and autonomous driving. 1-6 - Mayank Mangla, Mihir Mody, Kedar Chitnis, Piyali Goswami, Tarkesh Pande, Shashank Dabral, Shyam Jagannathan, Stefan Haas, Gang Hua, Hrushikesh Garud, Kumar Desappan, Prithvi Shankar, Niraj Nandan:
Efficient in-cabin monitoring solution using TI TDA2PxSOCs. 1-5 - Zixian Zang, Haotian Shen, Lizhi Yang, Avideh Zakhor:
Sensor-aware frontier exploration and mapping with application to thermal mapping of building interiors. 1-5 - Kumar Desappan, Anand Pathak, Pramod Swami, Mihir Mody, Yuan Zhao, Paula Carrillo, Praveen Eppa, Jianzhong Xu:
Open source deep learning inference libraries for autonomous driving systems. 1-5 - Peter van Beek, Chyuan-Tyng Wu, Avi Kalderon:
Efficient high-dynamic-range depth map processing with reduced precision neural net accelerator. 1-5 - Ramchandra Cheke, Ganesh Sistu, Ciarán Eising, Pepijn van de Ven, Varun Ravi Kumar, Senthil Kumar Yogamani:
FisheyePixPro: Self-supervised pretraining using Fisheye images for semantic segmentation. 1-6 - Ganesh Babu, Ramchandra Cheke, Ganesh Sistu, Senthil Kumar Yogamani:
Multi-lane modelling using convolutional neural networks and conditional random fields. 1-6 - Korbinian Weikl, Damien Schroeder, Walter Stechele:
Potentials of combined visible light and near infrared imaging for driving automation. 1-5 - Jisan Lee, Kyunghyun Son, Chang-Bum Lee, Inoh Hwang, Bongyong Jang, Eun Kyung Lee, Dongshik Shim, Hyunil Byun, Changgyun Shin, Tatsuhiro Otsuka, Yongchul Cho, Kyoungho Ha, Hyuck Choo:
Real-time LIDAR imaging by solid-state single chip beam scanner. 1-4 - Luis Constantin Wohlers, Patrick Müller, Alexander Braun:
Original image noise reconstruction for spatially-varying filtered driving scenes. 1-7 - Eiichi Funatsu, Steve Wang, Jken Vui Kok, Lou Lu, Fred Cheng, Mario Heid:
Non-RGB color filter options and traffic signal detection capabilities. 1-6 - Paola Iacomussi, Alessandro Schiavi:
Toward metrological trustworthiness for automated and connected mobility. 1-5
Regular Articles
- Ibrahim Sobh, Ahmed Hamed, Varun Ravi Kumar, Senthil Kumar Yogamani:
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving. 1-9
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-04 22:05 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
