218 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Toyota Research Institute5 papers
- Saint Petersburg State Electrotechnical UniversityRU2 papers
- Toyota Central Research and Development Laboratories (Japan)JP2 papers
- Toyota Motor North America (United States)US2 papers
- University of LeicesterGB2 papers
- University of MichiganUS2 papers
- Arizona State UniversityUS1 paper
- Australian National UniversityAU1 paper
- California Southern UniversityUS1 paper
- Dartmouth CollegeUS1 paper
- Data61AU1 paper
- Duke UniversityUS1 paper
13 papers
Cellular Topology Optimization on Differentiable Voronoi Diagrams
Fan Feng, Shiying Xiong, Ziyue Liu +6
Cellular structures manifest their outstanding mechanical properties in many biological systems. One key challenge for designing and optimizing these geometrically complicated stru…
PerceMon: Online Monitoring for Perception Systems
Anand Balakrishnan, Jyotirmoy Deshmukh, Bardh Hoxha +2
Perception algorithms in autonomous vehicles are vital for the vehicle to understand the semantics of its surroundings, including detection and tracking of objects in the environme…
Discovering IoT Physical Channel Vulnerabilities
Muslum Ozgur Ozmen, Xuansong Li, Andrew Chu +3
Smart homes contain diverse sensors and actuators controlled by IoT apps that provide custom automation. Prior works showed that an adversary could exploit physical interaction vul…
A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving
Ruikun Luo, Yifan Weng, Yifan Wang +7
Haptic shared control is used to manage the control authority allocation between a human and an autonomous agent in semi-autonomous driving. Existing haptic shared control schemes,…
Securing Vehicle-to-Everything (V2X) Communication Platforms
Monowar Hasan, Sibin Mohan, Takayuki Shimizu +1
Modern vehicular wireless technology enables vehicles to exchange information at any time, from any place, to any network -- forms the vehicle-to-everything (V2X) communication pla…
Deep Context Maps: Agent Trajectory Prediction using Location-specific Latent Maps
Igor Gilitschenski, Guy Rosman, Arjun Gupta +2
In this paper, we propose a novel approach for agent motion prediction in cluttered environments. One of the main challenges in predicting agent motion is accounting for location a…
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study
Ivan Y. Tyukin, Alexander N. Gorban, Stephen Green +1
This paper presents a technology for simple and computationally efficient improvements of a generic Artificial Intelligence (AI) system, including Multilayer and Deep Learning neur…
A Regularized and Smoothed Fischer-Burmeister Method for Quadratic Programming with Applications to Model Predictive Control
Dominic Liao-McPherson, Mike Huang, Ilya Kolmanovsky
This paper considers solving convex quadratic programs (QPs) in a real-time setting using a regularized and smoothed Fischer-Burmeister method (FBRS). The Fischer-Burmeister functi…
Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic
Tomoki Nishi, Prashant Doshi, Danil Prokhorov
Freeway merging in congested traffic is a significant challenge toward fully automated driving. Merging vehicles need to decide not only how to merge into a spot, but also where to…
Approximation with Random Bases: Pro et Contra
Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov +1
In this work we discuss the problem of selecting suitable approximators from families of parameterized elementary functions that are known to be dense in a Hilbert space of functio…
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
Hanxi Li, Yi Li, Fatih Porikli
Deep neural networks, albeit their great success on feature learning in various computer vision tasks, are usually considered as impractical for online visual tracking because they…
Adaptive Objectness for Object Tracking
Pengpeng Liang, Chunyuan Liao, Xue Mei +1
Object tracking is a long standing problem in vision. While great efforts have been spent to improve tracking performance, a simple yet reliable prior knowledge is left unexploited…
Electronically reconfigurable metal-on-silicon metamaterial
Yaroslav Urzhumov, Jae Seung Lee, Talmage Tyler +5
Reconfigurable metamaterial-based apertures can play a unique role in both imaging and in beam-forming applications, where current technology relies mostly on the fabrication and i…