Joint Wheel-Slip and Vehicle-Motion Estimation Based on Inertial, GPS, and Wheel-Speed Sensors


Joint wheel-slip and vehicle-motion estimation is taken into account, based mostly on measurements from wheel encoders, an inertial measurement unit, and a international positioning system (GPS). The proposed strategy effectively employs the Rao–Blackwellized particle-filtering framework using a kinematic model. Key variables in active safety systems, like longitudinal velocity, roll angle, and wheel slip for all four wheels, are estimated. The results from a demanding field take a look at show the efficacy of the approach; the wheel slip and velocity will be estimated with an absolute accuracy of 0.018 and 0.25 m/s, respectively, measured as time-averaged root-mean-sq. errors, in periods of simultaneous aggressive braking and cornering. The corresponding differences between best case and worst case performances are 0.005 and zero.1 m/s. The results from a double lane-modification maneuver indicate reliable velocity and slip estimation in periods of GPS outage.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Joint Transceiver Beamforming Design for Hybrid Full-Duplex and Half-Duplex Ad-Hoc Networks ABSTRACT: In this paper, we propose a joint transceiver beamforming design method for hybrid full-duplex (FD) and half-duplex
PROJECT TITLE : Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers ABSTRACT: The use of mapreduce frameworks to analyze ever-increasing volumes of data is expected to continue increasing
PROJECT TITLE : Joint Computation Offloading and Bandwidth Assignment in Cloud-Assisted Edge Computing ABSTRACT: The process of augmenting the computational capabilities of mobile devices with limited resources by offloading computation
PROJECT TITLE : Message-Passing-Based Joint User Association and Time Allocation for Wireless Powered Communication Networks ABSTRACT: A joint design of user association and time allocation for wirelessly powered communication
PROJECT TITLE : Joint detection and matching of feature points in multimodal images ABSTRACT: In this work, we propose a novel architecture for Convolutional Neural Networks (CNNs) for the joint detection and matching of feature

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry