Offroad Vehicle Simulation for windows instal

Use algorithms to plan a vehicle’s path given the vehicle’s dynamic constraints and operator’s preferences.

Create a map of the environment and determine the location of the vehicle even given noisy sensor readings.In this webinar, we will use an autonomous construction vehicle simulation example to show how to We will show testing and optimization of the autonomous algorithms through a co-simulation between Simulink and popular game engines.

In this webinar, we will use an autonomous construction vehicle as an example to show how to use MATLAB and Simulink to develop and customize autonomy for off-road vehicles. Those challenges include the impact of off-road motion on perception sensors, and the necessity of combining forward and backward motions to go to certain restricted places. Engineers working on those off-road applications often need to address challenges specific to off-road operating conditions that are very different from those in self-driving cars. Similar to commercial carmakers, makers of construction, mining, heavy-duty and off-road vehicles are actively adding autonomy or AI co-pilots to their vehicles.

Offroad Vehicle Simulation for windows instal