The problem of cooperative localization entails answering the following question, “Given a set of N points in a k-dimensional metric space and their corresponding pairwise distance/proximity measurements, can we find a conformation or relative positions of the points that satisfy these pairwise measurements?”. The problem is of significant interest in varied application areas such as sensor networks, transportation systems, multimedia processing, robotics, biology, non-linear dimensionality reduction etc. Our current research is largely focused on the theoretical, algorithmic and practical aspects of this problem.
Collaborative High Accuracy Localization for Intelligent Transportation Systems
High accuracy localization for precise localization of vehicles in multipath environments is of significant interest for critical safety applications. Our research focuses on robust peer-to-peer localization algorithms in multipath environments under bandwidth constraints. The U.S Department of Transportation recently recognized our work by selecting us as one of the six winners of the U.S. DoT Connected Vehicle Technology Challenge. Relevant references are conferences papers 2, 3, 4, 5 and technical reports 1, 2. This is joint work with Prof. Raja Sengupta.
Multimodal Location Estimation for consumer generated multimedia content
High Accuracy 3D Localization in Mobile Multipath Environments using RFID Supertags
Relevant reference is our recent conference submission 1.
Convex Relaxations for Localization