adamdivak

vgg_deconv_vis

Visualising what a convolutional neural network 'sees' using the Deconvnet technique, which identifies parts of an image that a given neuron/layer is sensitive to. Analysis performed using VGG.

udacity_sd_lidar_fusion

Lidar 3D object detection using NNs. Lidar-camera fusion using an EKF model, data association and track management

adamdivak

time_interpret

Code for On the reproducibility of: "Learning Perturbation to Explain Time Series Predictions", based on Joseph Enguehard's time series interpretability library

udacity_sd_control

Control and trajectory tracking for AVs tested in Carla. Implementing separate PID controllers for throttle and steering, controller parameter tuning using the twiddle algorithm, and some fixes to the original planner and simulator client

diffusion_augmented_pixelsplat

Improving novel view synthesis of 3D Gaussian splats using 2D image enhancement methods

equivariant_transfer_learning

Reproduction and extension of "Efficient Equivariant Transfer Learning from Pretrained Models" by Basu et al. (2023)

pyemotiv

A Python library for data acquisition from the Emotiv Epoc EEG headset, using the research SDK.

TS-Interpretability-Benchmark

udacity_sd_planning

Basic behavior and motion planning tested in Carla. State machine-based behavior planning, motion planning using cubic spirals, velocity profile generation and cost-function based trajectory selection with static collision checking

udacity_sd_advanced_lanes_cv

Lane detection using traditional CV algorithms - calibration, birds-eye view perspective transformation, sliding windows based lane finding and temporal tracking

udacity_sd_basic_lanes_cv

Basic lane detection using traditional CV algorithms. Thresholding, Canny edge detection, line clustering using DBSCAN, ego lane separator selection and visualization

udacity_sd_traffic_sign_classification

Traffic sign classification based on the LeNet architecture with dropout, regularization and hyperparameter optimization.

udacity_sd_vision_nn

Starter Code for the Course 1 project of the Udacity Self-Driving Car Engineer Nanodegree Program

udacity_sd_vision_nn_aws

Object Detection in an Urban Environment using TF2 Object Detection API and AWS Sagemaker.

uvadlc_practicals_2023