Meet PHOENIX INTEGRATION at the SIA Digital Simulation Congress | FRANCE
Join Phoenix Integration’s own Ilya Tolchinsky as he presents: “Optimisation of LIDAR sensor orientation to improve ADAS lane changing performance” on April 7 from 2:25 pm et 2:45 pm CET.
Commercial Advanced Driver Assistance Systems (ADAS) can achieve a certain level of autonomous driving on a motorway using functions such as Smart Cruise Control (SCC) and Lane Keeping Assist System (LKAS). The next step is to enable the vehicle to change lanes in traffic in order to maintain the desired speed. For a LIDAR-based system, the manufacturer has to determine the orientation of the LIDAR sensors.
This presentation investigates the impact of the orientation of the sensors on the lane changing performance of an ADAS. A motorway simulation is described that enables the evaluation of an algorithm that decides when to change lanes. The algorithm uses input from the sensors to determine when a lane change is beneficial to maintain a high travel speed. The orientation of the sensors along with algorithm parameters are varied using Design of Experiments (DOE) methods to study the impact on average speed and the number of required lane changes. Optimisation techniques are applied to find the best configuration. The study is performed within a Model Based System Engineering (MBSE) context to enable consideration of system-level requirements set by the manufacturer throughout the design process.
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