Over Two Years of Challenging Environmental Conditions for Localization: The IPLT Dataset

Youssef Bouaziz, E. Royer, Guillaume Bresson, M. Dhome
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引用次数: 1

Abstract

This paper presents a new challenging dataset for autonomous driving applications: Institut Pascal Long-Term — IPLT — Dataset which was collected over two years and it contains, at the moment, 127 sequences and it still growing. This dataset has been captured in a parking lot where our experimental vehicle has followed the same path with slight lateral and angular deviations while we made sure to incorporate various environmental conditions caused by luminance, weather, seasonal changes.
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超过两年的具有挑战性的环境条件定位:IPLT数据集
本文为自动驾驶应用提供了一个新的具有挑战性的数据集:帕斯卡研究所长期数据集- IPLT -数据集,该数据集收集了两年多的时间,目前包含127个序列,并且仍在增长。这个数据集是在一个停车场捕获的,我们的实验车辆沿着相同的路径行驶,有轻微的横向和角度偏差,同时我们确保结合由亮度、天气、季节变化引起的各种环境条件。
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