Localization capability demonstration under rain in Dense Urban Secenario

[liuXinGangChina]

Test condition

1. Autoware Version: 2024.07.17
2. Docker Version: Official Docker 2024.08
3. Launch file: Logging_simulator.launch (only localization and related module been pulled up)
4. Rosbag: Lidar Ouster os1-64-U (mode 1024x10)
5. Traffic status: Rush hour (9.00 am)
6. Traffic Participants: e-bike, bike, motorcycle, bus, truck, car, pedestrian
7. Test route Distance: 5km
8. Duration: 16 minutes
9. Route elements: more than 10 crossroads and zebra crossing, pass through hybrid road which shared by bike and car

Test result

1. Localization pipeline works well under different scenarios, localization failure or crush not detected

2. Path filtered by ekf is smooth and continuous

3. NDT‘s exec time:

   1. Average: 3ms
   2. Max: 14ms
      

4. Rviz screen cast: including localization visualization, dash cam video click here to watch the video
   

[liuXinGangChina]

need further comparison between different scenarios

[liuXinGangChina]

We also test the ndt based localization pipeline during peak hour in sunny day， test result is here

So far we have tested localization pipeline in sunny and rainy days during peak hour while the map is built in common days

it turn out to that there are no siginificant difference in calculation time between two weather types

the only difference between those two is during rainy days when ego turn at the road cross，the max exec-time of ndt increase a little from 10 ms to 14ms than sunny day driving