We have collected an extensive winter autonomous driving data set consisting of over 4TB of data collected between November 2019 and March 2020. Our base configuration features two 16 channel LiDARs, forward facing color camera, wide field of view NIR camera, and an ADAS LWIR camera. RTK corrected GNSS positioning and IMU data is also available. Portions include data from four different HD LiDARs operating in a variety of winter driving conditions. The set highlights some of the unique aspects of operating in northern climates including changing landmarks due to snow accumulation, wildlife, and snowmobiles operating on local roadways.
We propose a modification to the popular pure pursuit algorithm for path following of car like platforms in which multiple look-ahead points along the target path are aggregated to form a spatially filtered steering command. Our approach enables complex following behaviors while avoiding such as oscillatory behavior observed in approaches with a single look-ahead point.
In a human operated vehicle, the alignment of tires aims to strike a balance between ease of steering and a minimization of tire wear. The replacement of the human driver in an autonomous vehicle with low latency computer control of path tracking means that tire alignment can be performed with less emphasis on handling characteristics which contribute to ease of steering and directed towards improvement in tire life. This study uses MATLABs Vehicle Dynamics Blockset and Predictive Driver block to compare the path tracking capability of a passenger vehicle performing a double lane change maneuver under the control of the pure pursuit autonomous path following algorithm as well as a simulated human driver. Validation of the Predictive Driver block is performed by tracking a panel of human drivers performing the double lane change maneuver using GPS for localization in a subcompact electric vehicle. The vehicle model is characterized based on measurements from the test vehicle and sent through the same double lane change in simulation to compare behaviors. Tire alignment parameters are altered to demonstrate their effects on vehicle handling under both types of vehicle control. In the simulation environment, the pure pursuit algorithm tracks the desired path consistently across all parameter variations while the simulated human driver varies in its path tracking capabilities.
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