Project Sidewalk presents at WalkHackNight II

Manaswi Saha Feb 08, 2017

Transportation Techies DC had hosted their second WalkHackNight in Crystal City. Project Sidewalk team was honored to be invited to give a talk at this event. It is the second time for Project Sidewalk to be presenting at this event. [read more]

Majeed Kazemitabaar visiting UC Berkeley

Majeed Kazemitabaar Feb 03, 2017

Majeed Kazemitabaar will be a visiting student researcher this semester at UC Berkeley's Institute of Design (BiD Lab) to work with Prof. Bjoern Hartmann. He will be researching on tangible machine learning for children as part of his ongoing work with MakerWear. [read more]

Project Sidewalk Featured on UMD Homepage

Jon E. Froehlich Jan 05, 2017

Project Sidewalk is currently featured on the UMD homepage. This is some nice recognition at the university level about our work. Link to the article: Clear The Way: UMD Computer Scientists Seek Public Help Mapping Sidewalk Accessibility [read more]

Graduation Gift for Kotaro

Jon E. Froehlich Dec 22, 2016

The Makeability Lab came together to collectively design and make a custom, laser-cut plaque for Kotaro in Japanese and English for a graduation gift. Congrats Dr. Hara! Special thanks to Majeed for vectorizing my designs, to Liang for designing and creating the custom 3D-printed plaque stand, and to Art Faculty Brandon Morse for letting us use his Epilog laser cutter. [read more]

Congrats Dr. Kotaro Hara and Ladan Najafizadeh, MS

Jon E. Froehlich Dec 21, 2016

Congratulations to Dr. Kotaro Hara and Ladan Najafizadeh for graduating with their PhD and MS degrees respectively. It was a tremendous honor to hood Kotaro as my first student and a pleasure to watch Ladan walk across the commencement stage knowing how hard she worked for her MS thesis. Here's a video of Dr. Kotaro Hara being hooded (direct link): And Ladan walking across the stage receiving her MS degree: [read more]

Congratulations to Matt Mauriello for Passing his PhD Proposal

Jon E. Froehlich Dec 16, 2016

Congratulations to Matt Mauriello for passing his PhD proposal on mixed-initiative methods to scale thermographic energy auditing in space and time. Matt has much to celebrate this semester with getting into the Clark Faculty Fellow program, receiving two CHI paper acceptances, and now becoming a PhD candidate. Congrats Matt! And thanks to Andrea Wiggins and David Jacobs for serving on his committee. [read more]

Five Papers Accepted to CHI2017

Jon E. Froehlich Dec 12, 2016

The Makeability Lab had five papers accepted to CHI2017! We'll see you in Denver in May! [read more]

Matt Mauriello Selected for Future Faculty Program

Jon E. Froehlich Dec 09, 2016

Congratulations to Matt Mauriello who was just selected for the prestigious Clark School's Future Faculty Program--a program dedicated to helping promising young grad students develop their teaching and research skills in preparation for potential faculty careers. Congrats Matt, we are proud of you! [read more]

Congrats Ladan Najafizadeh for Passing Her MS Thesis Defense!

Jon E. Froehlich Dec 02, 2016

Congrats to Ladan Najafizadeh for passing her MS defense entitled "Temporal Tracking Urban Areas Using Google Street View." The abstract for her MS thesis is below. Tracking the evolution of built environments is a challenging problem in computer vision due to the intrinsic complexity of urban scenes, as well as the dearth of temporal visual information from urban areas. Emerging technologies such as street view cars, provide massive amounts of high quality imagery data of urban environments at street-level (e.g., sidewalks, buildings, and aesthetics of streets). Such datasets are consistent with respect to space and time; hence, they could be a potential source for exploring the temporal changes transpiring in built environments. However, using street view images to detect temporal changes in urban scenes induces new challenges such as variation in illumination, camera pose, and appearance/disappearance of objects. In this thesis, we leverage Google Street View’s new feature, “time machine”, to track and label the temporal changes of built environments, specifically accessibility features (e.g., existence of curb-ramps, condition of sidewalks). The main contributions of this thesis are: (i) initial proof-of-concept automated method for tracking accessibility features through panorama images across time, (ii) a framework for processing and analyzing time series panoramas at scale, (iii) set of proposed new HCI labeling tools that leverage the time series properties, and (iv) a geo-temporal dataset including different types of accessibility features for the task of detection. [read more]

Congratulations to Ladan Najafizadeh for Passing her MS Thesis Defense!

Jon E. Froehlich Dec 02, 2016

Congratulations to Ladan Najafixadeh for passing her MS thesis defense today on 'Temporal Tracking Urban Areas using Google Street View.' This work extends Project Sidewalk by using Google Street View's time machine feature to look back at historical images of locations and semi-automatically track accessibility features over time. [read more]