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ORCIDAutonomous Vehicles and Machines 2023: San Francisco, CA, USA
- Autonomous Vehicles and Machines 2023, San Francisco, CA, USA, January 15-19, 2023. Society for Imaging Science and Technology 2023
Article
- Shimiao Li, Yang Song, Ruijiang Luo, Zhongyang Huang, Chengming Liu:
tRANSAC: Dynamic feature accumulation across time for stable online RANSAC model estimation in automotive applications. 1-6 - Praneet Singh, Edward J. Delp, Amy R. Reibman
:
End-to-end evaluation of practical video analytics systems for face detection and recognition. 1-6 - Mihir Mody, Kumar Desappan, Pramod Swami, David Smith, Shyam Jagannathan, Kevin Lavery, Gregory Shultz, Jason Jones:
Orchestration of co-operative and adaptive multi-core deep learning engines. 1-5 - Shyam Jagannathan, Vijay Pothukuchi, Jesse Villarreal, Kumar Desappan, Manu Mathew, Rahul Ravikumar, Aniket Limaye, Mihir Mody, Pramod Swami, Piyali Goswami, Carlos Rodriguez, Emmanuel Madrigal, Marco Herrera:
OpTIFlow - An optimized end-to-end dataflow for accelerating deep learning workloads on heterogeneous SoCs. 113-1 - Tim Brophy, Brian M. Deegan, Javier Salado, Ángel Tena, Patrick Denny, Martin Glavin, Enda Ward, Jonathan Horgan, Edward Jones:
The design and validation of a rain model for a simulated automotive environment. 1-6 - Hao Lin, Brian M. Deegan, Jonathan Horgan, Enda Ward, Patrick Denny, Ciarán Eising, Martin Glavin, Edward Jones:
Simulating motion blur and exposure time and evaluating its effect on image quality. 117-1 - Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce E. Farrell, Brian A. Wandell:
Using simulation to quantify the performance of automotive perception systems. 1-8 - Dominik Schörkhuber, Roman Popp, Oleksandr Chistov, Fabian Windbacher, Michael Hödlmoser, Margrit Gelautz:
Design of an automotive platform for computer vision research. 1-6 - Chen-Chou Lo, Patrick Vandewalle:
How much depth information can radar contribute to a depth estimation model? 1-7 - Patrick Müller, Alexander Braun:
MTF as a performance indicator for AI algorithms? 1-7 - Brian M. Deegan, Dara Molloy, Jordan Cahill, Jonathan Horgan, Enda Ward, Edward Jones, Martin Glavin:
The influence of image capture and processing on MTF for end of line test and validation. 126-1 - Jackson Knappen:
Comprehensive stray light (flare) testing: Lessons learned. 1-7 - Shihao Shen, Louis Kerofsky, Senthil Kumar Yogamani:
Optical flow for autonomous driving: Applications, challenges and improvements. 1-8
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