A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing. - Pinar Muyan-Özçelik; Vladimir Glavtchev; Jeffrey M. Ota; John D. Owens (DAGM-Symposium, 2010)

Efficient occupancy grid computation on the GPU with lidar and radar for road boundary detection. - Florian Homm; Nico Kaempchen; Jeffrey M. Ota; Darius Burschka (Intelligent Vehicles Symposium, 2010)

Feature-based speed limit sign detection using a graphics processing unit. - Vladimir Glavtchev; Pinar Muyan-Özçelik; Jeffrey M. Ota; John D. Owens (Intelligent Vehicles Symposium, 2011)

FPGA versus GPU for Speed-Limit-Sign Recognition. - Matthew Yih; Jeffrey M. Ota; John D. Owens; Pinar Muyan-Özçelik (ITSC, 2018)

Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset. - Zhongyi Lin; Jeffrey M. Ota; John D. Owens; Pinar Muyan-Özçelik (Intelligent Vehicles Symposium, 2018)

CyDet: Improving Camera-based Cyclist Recognition Accuracy with Known Cycling Jersey Patterns. - Alexerand Masalov; Jeffrey M. Ota; Heath Corbet; Eric Lee; Adam Pelley (Intelligent Vehicles Symposium, 2018)

Specialized Cyclist Detection Dataset: Challenging Real-World Computer Vision Dataset for Cyclist Detection Using a Monocular RGB Camera. - Alexander Masalov; Pavel Matrenin; Jeffrey M. Ota; Florian Wirth; Christoph Stiller; Heath Corbet; Eric Lee (IV, 2019)

Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data. - Zhenzhen Weng; Paroma Varma; Alexander Masalov; Jeffrey M. Ota; Christopher Ré (IV, 2019)

PointAtMe: Efficient 3D Point Cloud Labeling in Virtual Reality. - Florian Wirth; Jannik Quehl; Jeffrey M. Ota; Christoph Stiller (IV, 2019)

Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection. - Zhongyi Lin; Matthew Yih; Jeffrey M. Ota; John D. Owens; Pinar Muyan-Özçelik (IEEE Trans. Intell. Veh., 2019)