Abstract: The embodiments herein disclose a method and a system for sensor position optimization in an autonomous vehicle. The system and method is configured to receive the weight assigned for each point in the regions of interest around the autonomous vehicle, possible positions of the sensors on the vehicle, and field of view and price of each sensor. The method further calculates a field of view and price of each specification based on the received weights of points in the regions of interest and possible positions of the sensors on the vehicle. The method runs quantum or quantum-inspired variational algorithm for various sensor configurations and the system completes the total number of iterations to generate the final sensor configuration.

Abstract: The embodiments herein disclose a system and method for combinatorial optimization of vehicle routing using simulated annealing on a universal optimization processor. The system characterizes the transport request from a supplier to a customer with its pickup location and delivery location respectively and also records the load volume for the corresponding request. The transport requests are received as an input and the system optimizes route plans for the collection of transport requests based on a simulated annealing. The system defines a route as valid if and only if (when) pickup location precedes the delivery location in route enumeration. Each vehicle is characterized by its maximum capacity value, such that a total volume of loads transported by a vehicle for a given set of delivery services cannot exceed its maximum capacity value. The system generates near-optimal route plan and total distance travelled based on a simulated annealing metaheuristic.