by RLE at MIT | May 2, 2019 | RLE Recent Papers
James Noraky, Vivienne Sze doi: 10.1109/ICIP.2017.8296655 Abstract: Depth sensing is used in a variety of applications that range from augmented reality to robotics. One way to measure depth is with a time-of-flight (TOF) camera, which obtains depth by emitting...
by RLE at MIT | May 2, 2019 | RLE Recent Papers
Yu-Hsin Chen, Tien-Ju Yang, Joel Emer, and Vivienne Sze doi: arXiv:1807.07928 Abstract: The design of DNNs has increasingly focused on reducing the computational complexity in addition to improving accuracy. While emerging DNNs tend to have fewer weights and...
by RLE at MIT | May 1, 2019 | RLE Recent Papers
Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze doi: arXiv:1903.03273 Abstract: Depth sensing is a critical function for robotic tasks such as localization, mapping and obstacle detection. There has been a significant and growing interest in...
by RLE at MIT | May 1, 2019 | RLE Recent Papers
Zhengdong Zhang, Trevor Henderson, Vivienne Sze, Sertac Karaman Abstract: Information-based mapping algorithms are critical to robot exploration tasks in several applications ranging from disaster response to space exploration. Unfortunately, most existing...
by RLE at MIT | Apr 22, 2019 | RLE Recent Papers
Rumen Dangovski, Li Jing, Preslav Nakov, Mićo Tatalović and Marin Soljačić doi: 10.1162/tacl_a_00258 Abstract: Stacking long short-term memory (LSTM) cells or gated recurrent units (GRUs) as part of a recurrent neural network (RNN) has become...
by RLE at MIT | Apr 20, 2019 | RLE Recent Papers
Amr Suleiman, Member, Zhengdong Zhang, Student Member, Luca Carlone, Sertac Karaman, Member, and Vivienne Sze doi: 10.1109/JSSC.2018.2886342 Abstract: This paper presents Navion, an energy-efficient accelerator for visual-inertial odometry (VIO) that...