31 Aug 2018
Planning for self-driving vehicles consists of route planning, behavioral planning and motion planning. Route planning picks sequence of road segments. Behavorial planner generates discrete motion goals (location, speed) adherence to rules of road. It specifies desired lane and speed. One local goal can be driving down this lane reaching location...
27 Aug 2018
Probabilistic Robotis by Sebastian Thrun, Wolfram Burgard and Dieter Fox is a great book. I decied to read it after taking the Artificial Intelligence for Robotics Udacity class. Here I am going to summary the main things I learnt from the book. All the included figures are blatantly copied from...
02 Jun 2018
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy is a comprehensive book covering many topics on machine learning. In this blog, I will try to summarize things that I find important. Preliminaries Probabilities Discrete Generative Models Gaussian Bayesian statistics EM Linear Models Linear regression Logistic regression GLM Latent Linear...
07 Dec 2017
This blog is about Multiple View Geometry in Computer Vision by Richard Hartley and Andrew Zisserman. I will mainly take some notes about the gold standard algorithms in this book. All figures are blatantly copied from the book. 3D Space 2D homography Camera models Compute Camera Matrix P Single View...
07 Aug 2017
This blog is about object detection deep learning papers. Note that Ross Girshick is on the authors list for all of them! R-CNN Fast R-CNN Faster R-CNN FPN Mask R-CNN Retinanet R-CNN R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich fea- ture hierarchies for accurate object detection and...