This thesis presents a study on how the accuracy of vehicle kinematic models can affect the performance of an optimization-based path planner. A bicycle model and an articulated machine model are chosen to be different accurate levels of modelling. The path planner generates a final path in two steps. First a coarse path is obtained by an adapted A* algorithm as an initial guess, then the final smooth collision-free path is generated by a nonlinear optimization algorithm according to the initial guess and the selected vehicle model. The differences regarding path length, success rate and computation time between these two models are compared in this thesis. The generated paths are further used in real tests as reference paths of an autonomo...
Miljøet mennesker omgir seg i består av områder som ikke er optimale for forflytning med hjul. Av de...
Å planlegge en optimal rute for et bil-lignende terrengkjøretøy byr på forskjellige utfordringer. De...
Ökad andel resor med hållbara färdmedel är en förutsättning för att kombinera fortsatt tillväxt med ...
This thesis presents a study on how the accuracy of vehicle kinematic models can affect the performa...
Framsteg inom teknik gör maskinintelligens möjlig med fördelar i kostnad, säkerhet och hållbarhet. V...
allowing for bi-directional costs and different vehicle costs. The first model is based on shortest ...
In this thesis, a Model Predictive Control (MPC) based re-planning and control system is proposed. T...
This licentiate thesis is focusing on the modeling, control and path planning problems for an articu...
Autonomous vehicles is a rapidly expanding field and the need for robust and efficient path planners...
This thesis work presents a model predictive control (MPC) based trajectory planner forhigh speed la...
In the future autonomous vehicles are expected to navigate independently and manage complex traffic ...
The autonomous driving industry has undergone leaps and bounds of research to reach the mainstream m...
Semitrailer trucks are widely used for transportation of goods in Sweden and around the world. Given...
Path following control is a fundamental part of vehicle autonomy and over the lastdecades extensive ...
Motion planning for autonomous heavy duty vehicles has been intensively studied during the last year...
Miljøet mennesker omgir seg i består av områder som ikke er optimale for forflytning med hjul. Av de...
Å planlegge en optimal rute for et bil-lignende terrengkjøretøy byr på forskjellige utfordringer. De...
Ökad andel resor med hållbara färdmedel är en förutsättning för att kombinera fortsatt tillväxt med ...
This thesis presents a study on how the accuracy of vehicle kinematic models can affect the performa...
Framsteg inom teknik gör maskinintelligens möjlig med fördelar i kostnad, säkerhet och hållbarhet. V...
allowing for bi-directional costs and different vehicle costs. The first model is based on shortest ...
In this thesis, a Model Predictive Control (MPC) based re-planning and control system is proposed. T...
This licentiate thesis is focusing on the modeling, control and path planning problems for an articu...
Autonomous vehicles is a rapidly expanding field and the need for robust and efficient path planners...
This thesis work presents a model predictive control (MPC) based trajectory planner forhigh speed la...
In the future autonomous vehicles are expected to navigate independently and manage complex traffic ...
The autonomous driving industry has undergone leaps and bounds of research to reach the mainstream m...
Semitrailer trucks are widely used for transportation of goods in Sweden and around the world. Given...
Path following control is a fundamental part of vehicle autonomy and over the lastdecades extensive ...
Motion planning for autonomous heavy duty vehicles has been intensively studied during the last year...
Miljøet mennesker omgir seg i består av områder som ikke er optimale for forflytning med hjul. Av de...
Å planlegge en optimal rute for et bil-lignende terrengkjøretøy byr på forskjellige utfordringer. De...
Ökad andel resor med hållbara färdmedel är en förutsättning för att kombinera fortsatt tillväxt med ...