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Educational autonomous driving stack for the Polaris GEM vehicle

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a66b0e986d4b6918f4a3b8d279eaa7f2dd9eda04 the vehicle is following the acceleration model "group8_v1" on May,6 highbay day. we tried to implement the dynamic model inside of MPC, but we find out the execution time...

Final update agent_detection.py and test_agent_detection.py. In this pull request, we fix some bugs and the y 3D coordinate. We find that the y coordinate was image coordinate not the vehicle...

- This pull request will add a new `EKFStateEstimator` class to `state_estimation.py`. - The estimator is based on an error state Kalman filter between GNSS and IMU readings from the...

This PR adds: - traffic_sign_and_light_model_train.py to GEMstack/offboard/detection_learning/ - This is the code used to train the custom object detection model used in the traffic sign and traffic light detection module...

Create IMUStateEstimator class, using IMU acceleration value to get vehicle's pose.

…_estimation.py - Fix typo that subscribed to Inspva instead of INSNavGeod in gem_hardware.py. - Convert gnss_pose latitude and longitude readings from radians to degrees in state_estimation.py to allow correct input...

Creating pull request to review changes in alpha-test branch that can be manually pulled in sim branch

This PR includes work from road driving group. The code integrates GEMstack detectors with Carla without modifying detectors themselves.

This PR includes the road driving group's work on obeying traffic lights. Summary: - added signal simulation to the GEM simulator - added a function to plot the signals -...

This commit introduces the curvature_based_speed_parameteriz() function in `trajectory.py` and adds a new configuration file `curvature_based_speed_parameterize.yaml` under `GEMstack/knowledge/defaults`. The CBSP function is designed to modulate vehicle speeds based on path curvature...