Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A new method is proposed for driver reaction time (delay) and parameter estimation using a generic lateral model that is expressed in terms of the steering angle, yaw rate and lateral lane offset. The idea behind the presented method is to reformulate the original driver model with an overparametrized one and then use the L 1 -regularization method to enforce sparsity and thereby estimate the delay together with the parameters of the original model. A sequential algorithm is then presented to obtain better estimates of the parameters with a model in which the delay is fixed.
['SeyedMehrdad Hosseini', 'Hakan Koroglu', 'Jonas Sjoberg']
I am writing a research paper on a idea Estimation of parameters and delay in driver models using L 1 -regularization
[{"from": "human", "value": "I am writing a research paper on a idea Estimation of parameters and delay in driver models using L 1 -regularization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A new method is proposed for driver reaction time (delay) and parameter estimation using a generic lateral model that is expressed in terms of the steering angle, yaw rate and lateral lane offset. The idea behind the presented method is to reformulate the original driver model with an overparametrized one and then use the L 1 -regularization method to enforce sparsity and thereby estimate the delay together with the parameters of the original model. A sequential algorithm is then presented to obtain better estimates of the parameters with a model in which the delay is fixed."}]