DeepAI AI Chat
Log In Sign Up

Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset

09/19/2022
by   Fangyu Wu, et al.
0

Decentralized multiagent planning has been an important field of research in robotics. An interesting and impactful application in the field is decentralized vehicle coordination in understructured road environments. For example, in an intersection, it is useful yet difficult to deconflict multiple vehicles of intersecting paths in absence of a central coordinator. We learn from common sense that, for a vehicle to navigate through such understructured environments, the driver must understand and conform to the implicit "social etiquette" observed by nearby drivers. To study this implicit driving protocol, we collect the Berkeley DeepDrive Drone dataset. The dataset contains 1) a set of aerial videos recording understructured driving, 2) a collection of images and annotations to train vehicle detection models, and 3) a kit of development scripts for illustrating typical usages. We believe that the dataset is of primary interest for studying decentralized multiagent planning employed by human drivers and, of secondary interest, for computer vision in remote sensing settings.

READ FULL TEXT

page 1

page 3

page 4

page 5

page 6

11/09/2019

Human Driver Behavior Prediction based on UrbanFlow

How autonomous vehicles and human drivers share public transportation sy...
03/29/2020

Implicit Cooperation: Emotion Detection for Validation and Adaptation of Automated Vehicles' Driving Behavior

Human emotion detection in automated vehicles helps to improve comfort a...
04/12/2021

Behavioral Research and Practical Models of Drivers' Attention

Driving is a routine activity for many, but it is far from simple. Drive...
01/08/2022

Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning

Safe navigation in dense, urban driving environments remains an open pro...
03/12/2020

AirSim Drone Racing Lab

Autonomous drone racing is a challenging research problem at the interse...
12/22/2022

SceNDD: A Scenario-based Naturalistic Driving Dataset

In this paper, we propose SceNDD: a scenario-based naturalistic driving ...