Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

A. Modeling of Interchange Topology

We apply labeled digraph to model interchange typologies.

Given an interchange J with n one-way roads and m ramps, its topology model, denoted as GJ = ⟨V, E, T, f⟩. The labels denote how a ramp connects to a road or another ramp. Hence, we have four labels: T = {Out-R, Out-L, In-R, In-L}, where Out-R (resp., Out-L) means the ramp leaves a road/ramp on its right (resp., left), and In-R (resp., In-L) means the ramp merges into a road/ramp from its right (resp., left).

For example, Fig. 1(b) presents the topology model of the interchange J1 (Fig. 1(a)).

Posts

Introduction

less than 1 minute read

Published:

We’ve generated test scenarios based on the geometry and topology information extracted from the HD maps, either without or with dynamic obstacles.

Map Modeling

1 minute read

Published:

We focus on the city-driving scenarios and as mentioned previously, there are two main elements: roads and junctions.

Grid-layout guided HD map construction

1 minute read

Published:

After we have the models for roads and junctions, the next step is to find out where to construct the junctions and how to connect them, such that the junctions are connected as much as they can and there are no overlaps of the roads.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Map Modeling

1 minute read

Published:

We focus on the city-driving scenarios and as mentioned previously, there are two main elements: roads and junctions.

portfolio

publications

talks

Methodology

Published:

As mentioned earlier, each route contians two roads and one junction.

Introduction

Published:

The first step to testing scenarios generation is to construct the road networks where all the traffic participants (e.g. EGO vehicle, NPC vehicles, pedestrians etc.) move.

teaching

, , 1900