Canadian Adverse Driving Conditions Dataset

01/27/2020
by   Matthew Pitropov, et al.
22

The Canadian Adverse Driving Conditions (CADC) dataset was collected with the Autonomoose autonomous vehicle platform, based on a modified Lincoln MKZ. The dataset, collected during winter within the Region of Waterloo, Canada, is the first autonomous vehicle dataset that focuses on adverse driving conditions specifically. It contains 7,000 frames collected through a variety of winter weather conditions of annotated data from 8 cameras (Ximea MQ013CG-E2), Lidar (VLP-32C) and a GNSS+INS system (Novatel OEM638). The sensors are time synchronized and calibrated with the intrinsic and extrinsic calibrations included in the dataset. Lidar frame annotations that represent ground truth for 3D object detection and tracking have been provided by Scale AI.

READ FULL TEXT

page 1

page 3

page 7

page 9

page 10

page 11

research
03/18/2022

Boreas: A Multi-Season Autonomous Driving Dataset

The Boreas dataset was collected by driving a repeated route over the co...
research
08/12/2020

DAWN: Vehicle Detection in Adverse Weather Nature Dataset

Recently, self-driving vehicles have been introduced with several automa...
research
03/17/2020

Ford Multi-AV Seasonal Dataset

This paper presents a challenging multi-agent seasonal dataset collected...
research
09/15/2023

The Use of Multi-Scale Fiducial Markers To Aid Takeoff and Landing Navigation by Rotorcraft

This paper quantifies the impact of adverse environmental conditions on ...
research
12/04/2019

Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving

Cameras are getting more and more important in autonomous driving. Wide-...
research
01/16/2017

3D tracking of water hazards with polarized stereo cameras

Current self-driving car systems operate well in sunny weather but strug...
research
06/15/2023

Localization with Anticipation for Autonomous Urban Driving in Rain

This paper presents a localization algorithm for autonomous urban vehicl...

Please sign up or login with your details

Forgot password? Click here to reset