Name
Abstract | ||
|---|---|---|
Among traffic accidents in the USA, 23% of fatal and 32% of non-fatal incidents occurred at intersections. For driver assistance systems, intersection navigation remains a difficult problem that is critically important to increasing driver safety. In this letter, we examine how to navigate an unsignalized intersection safely under occlusions and faulty perception. We propose a real-time, probabilistic, risk assessment for parallel autonomy control applications for occluded intersection scenarios. The algorithms are implemented on real hardware and are deployed in a variety of turning and merging topologies. We show phenomena that establish go/no-go decisions, augment acceleration through an intersection and encourage nudging behaviors toward intersections. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LRA.2019.2931823 | IEEE ROBOTICS AND AUTOMATION LETTERS |
Keywords | Field | DocType |
Intelligent Transportation Systems, Human Factors and Human-in-the-Loop, Autonomous Vehicle Navigation | Driver safety,Advanced driver assistance systems,Risk assessment,Network topology,Control engineering,Artificial intelligence,Probabilistic logic,Engineering,Merge (version control),Perception,Machine learning | Journal |
Volume | Issue | ISSN |
4 | 4 | 2377-3766 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephen G. McGill | 1 | 1 | 1.70 |
| Guy Rosman | 2 | 174 | 18.86 |
| Teddy Ort | 3 | 0 | 1.69 |
| Alyssa Pierson | 4 | 49 | 6.23 |
| Igor Gilitschenski | 5 | 78 | 13.89 |
| Brandon Araki | 6 | 0 | 1.69 |
| Luke Fletcher | 7 | 340 | 32.95 |
| Sertac Karaman | 8 | 1190 | 87.27 |
| Daniela Rus | 9 | 7128 | 657.33 |
| John J. Leonard | 10 | 4696 | 431.59 |