LISA-A
收藏arXiv2019-01-31 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/1709.07502v4
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资源简介：
LISA-A数据集由智能与安全汽车实验室(LISA)和丰田协同安全研究中心(CSRC)共同创建，旨在为自动驾驶和辅助驾驶算法提供全面的多模态数据支持。该数据集包含超过100小时的实车道路测试数据，涵盖多种天气、交通和光照条件。数据集通过安装在车辆上的高精度传感器（包括8个RGB视频摄像头、6个LIDARs、5个雷达和GPS/IMU单元）进行采集，所有数据均经过精确校准和时间同步。LISA-A数据集的应用领域广泛，包括车辆检测与跟踪、自车定位、驾驶行为分析和风险评估等，为自动驾驶技术的研究和开发提供了宝贵的真实世界数据资源。
The LISA-A dataset was co-created by the Laboratory for Intelligent and Safe Automobiles (LISA) and the Toyota Collaborative Safety Research Center (CSRC), aiming to provide comprehensive multimodal data support for autonomous driving and advanced driver-assistance system (ADAS) algorithms. This dataset contains over 100 hours of real-world road test data, covering diverse weather, traffic and illumination conditions. It is collected via high-precision sensors mounted on the test vehicle, including 8 RGB video cameras, 6 LIDARs, 5 radars and a GPS/IMU unit, and all data have undergone precise calibration and time synchronization. The LISA-A dataset has broad application scenarios, including vehicle detection and tracking, ego-vehicle localization, driving behavior analysis and risk assessment, serving as a valuable real-world data resource for the research and development of autonomous driving technologies.
提供机构：
智能与安全汽车实验室 (LISA), 加州大学圣地亚哥分校 2丰田协同安全研究中心 (CSRC)
创建时间：
2017-09-22
