Term 3, Project 1 of Udacity Self Driving Car Nanodegree -- Path Planning
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Updated
Jul 4, 2018 - C++
Term 3, Project 1 of Udacity Self Driving Car Nanodegree -- Path Planning
Source code and other required files to provide a base automated driving software on an AmigoBot using ROS.
Supplementary material for "Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges" IEEE transactions on intelligent transportation systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9000872 -- arxiv: https://arxiv.org/pdf/1902.07830.pdf
Sample scripts for the Bosch Small Traffic Lights Dataset
This is the final project in the Course 1 - Introduction to Self Driving Cars of the Self-Driving Car Specialization offered by Coursera
Additional results for "Using Drones as Reference Sensors for Neural-Networks-Based Modeling of Automotive Perception Errors"
SimViz contains tools and resources for authoring and executing autonomous vehicle simulations on roadways and city scapes by using map import, scene creation, formatting of ground truth data, and creating spline based roads.
An REU (Research Experiences for Undergraduates) project on human behavior and automated driving features
Resources that help engineers thrive in automated driving R&D
Visual generation of traffic scenarios based on the OpenSCENARIO standard
Frontend of crowdsourced experiment on acceptance the AI-based lane changes of an automated car.
Detection of saliency in crowdsourced gazes data.
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
This project defines a framework for the analysis of crossing behaviour in the interaction between a pedestrian and an automated vehicle with a textual eHMI using a crowdsourcing approach.
L3Pilot Common Data Format
Examining eHMIs in critical driver-pedestrian encounters in a coupled simulator
Crowdsourced experiment 1 on the color of external Human-Machine Interfaces (eHMIs) for a crossing scenario.
Crowdsourced experiment 2 on the color of external Human-Machine Interfaces (eHMIs) for a crossing scenario.
Crowdsourced experiment on bio-inpired interfaces for automated vehicles.
Crowdsourced experiment on eye contract between automated vehicles and pedestrians.
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