Faculty Muhammad Latif Anjum

Muhammad Latif Anjum

HOD Department of Power, Control & Electronics (P&CE-EE)
  • School of Electrical Engineering and Computer Science
  • 5190852123
Summary

Academic Background
PhD (Robotics And Computer Vision) Politecnico di Milano April 01, 2012 - April 22, 2015
Honours and Awards
Publications
One step back, two steps forward: learning moves to recover from SLAM tracking failures February 28, 2024 Ans Hussain Qureshi, Muhammad Latif Anjum, Muhammad Wajahat Hussain, Usama Mudassar, Sohail Abbasi, Advanced Robotics - Pages: 16
Why ORB-SLAM is missing commonly occurring loop closures? December 01, 2023 Saran Khaliq, Muhammad Latif Anjum, Muhammad Wajahat Hussain, Muhammad Uzair Khattak, Momen Rasool, Autonomous Robots - Volume 47, Issue 8, Pages 1519-1535
Deep introspective SLAM: deep reinforcement learning based approach to avoid tracking failure in visual SLAM June 20, 2022 Kanwal Naveed, Muhammad Latif Anjum, Wajahat Hussain, Donghwan Lee, Autonomous Robots - Pages 1-20
Perceptual Aliasing++: Adversarial Attack for Visual SLAM Front-end and Back-end April 01, 2022 Muhammad Haris Ikram, Saran Khaliq, Muhammad Latif Anjum , Muhammad Wajahat Hussain , IEEE Robotics and Automation Letters - Volume 7, Issue 2, Pages 4670-4677
A First Look at Private Communications in Video Games using Visual Features April 27, 2021 Abdul Wajid, Nasir Kamal, Muhammad Sharjeel, Raaez Muhammad Sheikh, Huzaifa Bin Wasim, Muhammad Hashir Ali, Wajahat Hussain, Syed Taha Ali, Muhammad Latif Anjum, Proceedings on Privacy Enhancing Technologies - Volume 2021 (3), Pages 433–452
A sketch is worth a thousand navigational instructions February 20, 2021 Haseeb Ahmad, Sardar Muhammad Usama, Wajahat Hussain, Muhammad Latif Anjum, Autonomous Robots - Volume 45, Pages 313–333
LTA*: Local tangent based A* for optimal path planning January 07, 2021 Muhammad Mateen Zafar, Muhammad Latif Anjum, Wajahat Hussain, Autonomous Robots - Pages 1-19
Tracking a Subset of Skeleton Joints: An Effective Approach towards Complex Human Activity Recognition January 17, 2017 Dr Latif Anjum, Stefano Rosa, Basilio Bona, Journal of Robotics - Article Number: 7610417, Published: 17 January 2017, 8 pages
Conferences
Adversarial Examples for Handcrafted Features September 09, 2019 - September 12, 2019 Zohaib Ali, Muhammad Latif Anjum, Wajahat Hussain, 30th British Machine Vision Conference
Skeleton tracking based complex human activity recognition using kinect camera October 27, 2014 - October 29, 2014 Muhammad Latif Anjum, Omar Ahmad, Stefano Rosa, Jingchun Yin, Basilio Bona, International Conference on Social Robotics ICSR 2014
Sensor Data Fusion Using Unscented Kalman Filter for VOR-Based Vision Tracking System for Mobile Robots August 28, 2013 - August 29, 2013 M.Latif Anjum, Omar Ahmad, Basilio Bona, Dong-il “Dan” Cho, Conference Towards Autonomous Robotic Systems TAROS 2013
Vision tracking system for mobile robots using two Kalman filters and a slip detector October 27, 2010 - October 30, 2010 Wonsang Hwang, Jaehong Park, Hyun-il Kwon, Muhammad Latif Anjum, Jong-hyeon Kim, Changhun Lee, Kwang-soo Kim, Dong-il “Dan” Cho, ICCAS 2010 - International Conference on Control, Automation and Systems
Sensor data fusion using fuzzy control for VOR-based vision tracking system October 18, 2010 - October 22, 2010 Hyun-il Kwon, Jaehong Park, Wonsang Hwang, Jong-hyeon Kim, Chang-hun Lee, M. Latif Anjum, Kwang-soo Kim, Dong-il ‘Dan’ Cho, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
High performance vision tracking system for mobile robot using sensor data fusion with kalman filter October 18, 2010 - October 22, 2010 Jaehong Park, Wonsang Hwang, Hyun-il Kwon, Jong-hyeon Kim, Chang-hun Lee, M. Latif Anjum, Kwangsoo Kim, Dong-il “Dan” Cho, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
Stable vision system for indoor moving robot using encoder information October 20, 2009 - October 24, 2009 Eun Sub Shim, Wonsang Hwang, Muhammad Latif Anjum, Hyun Seok Kim, Kwang Suk Park, Kwangsoo Kim, Dong-il “Dan” Cho, IFAC Proceedings Volumes