3. The Argoverse 2 Datasets3.1 Sensor Dataset 传感器数据集 Argoverse 2传感器数据集是Argoverse 1 3D跟踪数据集的后续。AV2更大,有1000个场景,高于Argoverse 1中的113个,但每个AV2场景也更丰富--AV2中有23倍的非车辆、非行人长方体。作者手工选择Argoverse 2传感器数据集中的30s组成场景,以包含拥挤的场景,其...
3.1 Sensor Dataset 传感器数据集 Argoverse 2传感器数据集是Argoverse 1 3D跟踪数据集的后续。AV2更大,有1000个场景,高于Argoverse 1中的113个,但每个AV2场景也更丰富--AV2中有23倍的非车辆、非行人长方体。作者手工选择Argoverse ...
3.1 Sensor Dataset 传感器数据集 Argoverse 2传感器数据集是Argoverse 1 3D跟踪数据集的后续。AV2更大,有1000个场景,高于Argoverse 1中的113个,但每个AV2场景也更丰富--AV2中有23倍的非车辆、非行人长方体。作者手工选择Argoverse 2传感器数据集中的30s组成场景,以包含拥挤的场景,其中包含未被表示的对象、值得注...
Argoverse 2 Sensor Dataset:在Argoverse 1 3D Trackingdataset基础上改进而来 Argoverse 2 Motion Forecasting Dataset:在Argoverse 1 Motion Forecasting Dataset基础上改进而来 Argoverse 2 Lidar Dataset:未标注的雷达数据集 Argoverse 2 Map Change Dataset:contains 1,000 scenarios, 200 of which depict real-world H...
Argoverse 2 Sensor Dataset Overview Dataset Size The Argoverse 2 Sensor Dataset is the successor to the Argoverse 1 3D Tracking Dataset. AV2 is larger, with 1,000 scenes totalling 4.2 hours of driving data, up from 113 scenes in Argoverse 1. The total dataset amounts to 1 TB of data in...
Our version allows loading tracking IDs of objects in the sensor dataset. 2. Download the raw data Install s5cmd following the instructions. Set Up the Data Directory # Create the data directory or create a symbolic link to the data directory mkdir -p ./data/argoverse/raw mkdir -p ./data...
One dataset with 324,557 interesting vehicle trajectories extracted from over 1000 driving hours Two high-definition (HD) maps with lane centerlines, traffic direction, ground height, and more One API to connect the map data with sensor information Data collection Where was the data collected? The...
3. The Argoverse Dataset Our sensor data, maps, and annotations are the primary contribution of this work. We also develop an API which helps connect the map data with sensor information e.g. ground point removal, nearest centerline queries, and lane graph connectivity; see Supple...
$ python visualize_30hz_benchmark_data_on_map.py --dataset_dir <path/to/logs> --log_id <id of the specific log> --experiment_prefix <prefix of the output directory> For example, the path to the logs might be argoverse-tracking/train4 and the log id might be 2bc6a872-9979-3493-...
$ python visualize_30hz_benchmark_data_on_map.py --dataset_dir <path/to/logs> --log_id <id of the specific log> --experiment_prefix <prefix of the output directory> For example, the path to the logs might be argoverse-tracking/train4 and the log id might be 2bc6a872-9979-3493-...