Autonomous Vehicles and Machines

Publications

2023

Jackson Knappen
Comprehensive stray light (flare) testing: Lessons learned. Autonomous Vehicles and Machines (2023)
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. Autonomous Vehicles and Machines (2023)
Praneet Singh, Edward J. Delp, Amy R. Reibman
End-to-end evaluation of practical video analytics systems for face detection and recognition. Autonomous Vehicles and Machines (2023)
Dominik Schörkhuber, Roman Popp, Oleksandr Chistov, Fabian Windbacher, Michael Hödlmoser, Margrit Gelautz
Design of an automotive platform for computer vision research. Autonomous Vehicles and Machines (2023)
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. Autonomous Vehicles and Machines (2023)
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. Autonomous Vehicles and Machines (2023)
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. Autonomous Vehicles and Machines (2023)
Patrick Müller, Alexander Braun
MTF as a performance indicator for AI algorithms? Autonomous Vehicles and Machines (2023)
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. Autonomous Vehicles and Machines (2023)
Shihao Shen, Louis Kerofsky, Senthil Kumar Yogamani
Optical flow for autonomous driving: Applications, challenges and improvements. Autonomous Vehicles and Machines (2023)
Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce E. Farrell, Brian A. Wandell
Using simulation to quantify the performance of automotive perception systems. Autonomous Vehicles and Machines (2023)
Chen-Chou Lo, Patrick Vandewalle
How much depth information can radar contribute to a depth estimation model? Autonomous Vehicles and Machines (2023)
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. Autonomous Vehicles and Machines (2023)
Autonomous Vehicles and Machines 2023, San Francisco, CA, USA, January 15-19, 2023 Autonomous Vehicles and Machines (2023)

2022

2021