Vehicle Dynamics Intelligence Hub
Central portal featuring latest research articles, technology reviews, case studies, and learning hub for auto geeks. Explore application tool box and advance research proto solutions in vehicle dynamics, control, design and analytics.
Application Tool Box
Motorsport AI Agent
An AI-powered race engineering agent that ingests lap telemetry, vehicle performance data, and live race conditions to generate real-time strategic decisions, setup recommendations, and competitive insights — built for motorsport engineers and teams demanding data-driven performance on track.
R&H Sentiment NLTK
Input any automotive media review URL to extract and decode ride and handling reviewer language. NLP pipelines classify subjective attributes comfort, agility, steering feel generating structured sentiment scores, weighted pillar ratings, and an auto-generated comparative vehicle summary.
RT Signal Generator
Synthesizes realistic sensor signals from a user-defined base curve — layering configurable noise, vibration, drift, and hysteresis to replicate true sensor behaviour. Generate, visualize, and export master signal log for ECU testing, algorithm validation, and HIL bench simulation.
Vehicle State Estimator
Estimates critical real-time vehicle states — velocity, sideslip angle, roll, pitch, and yaw — using sensor fusion and model-based observer algorithms. Built for control system validation, ADAS development, and dynamic performance analysis across SUV, Sedan, Hatchback, and Sports Car platforms.
Research Proto
Smart Suspension Control
Processes real-time IMU, wheel sensor, and damper displacement signals to compute and command optimal damper current flow in a semi-active suspension system. Closed-loop algorithm continuously adapts to road inputs and vehicle dynamics for precise ride and handling performance.
Driving Pattern Recognition
Using Onboard CAN log data, driver inputs are analysed within unique vehicle states classified by key dynamic parameters to benchmark driving patterns, evaluate cross-session driver consistency, and extract behavioural signatures across varied manoeuvres and operating conditions.
Wheel Alignment Prediction
Predicts static wheel alignment parameters for concept vehicles using XGBoost and Random Forest models trained on 100+ globally benchmarked production cars. Vehicle specification and dynamic DNA serve as input features — enabling alignment estimation before physical prototype hardware exists.
Vehicle Drift
Control
Develops a Software-Defined Vehicle drift control feature through precise ECU and vehicle system calibration. Engineered to execute controlled drift manoeuvres while maintaining safety boundaries, bridging high-performance vehicle dynamics with production-grade functional safety standards.
Technology Review
Hyperloop Vehicle
A critical engineering review of Hyperloop vehicle architecture examining propulsion, levitation, aerodynamic behaviour in near-vacuum tubes, structural load cases, and passenger dynamics. Evaluates feasibility and current prototype benchmarks against conventional high-speed transport engineering standards.
Vehicle Cybersecurity
Reviews the cybersecurity threat landscape in modern connected vehicles — evaluating attack surfaces across CAN bus, OTA update pipelines, ADAS sensors, and V2X interfaces. Assesses compliance with UN R155 regulations, ISO/SAE 21434 standards, and current OEM mitigation architectures.
Multiobject Tracking
Implementation for multi-object tracking in automotive perception systems with kalman filter. Reviews prediction correction cycle mechanics, state estimation accuracy, and sensor fusion performance against real-world ADAS scenarios involving pedestrians, vehicles, and dynamic obstacles.
V2X Connectivity
Evaluates Vehicle-to-Everything communication architecture covering V2V, V2I, V2P, and V2N protocols. Reviews DSRC versus C-V2X technology trade-offs, latency performance, cybersecurity exposure, and real-world deployment readiness across smart city infrastructure and ADAS-integrated vehicles.
Learning Hub
Vehicle Dynamics
Deep-dive into ride, handling, NVH, and chassis behaviour. Physics-backed models for real-world performance prediction across all terrain types and load conditions.
Vehicle Control
Advanced control systems from ADAS to stability management. Explore algorithm design for active safety, autonomous control logic, and powertrain response optimization.
Vehicle Design
CAD, aerodynamics, structural integrity, and lightweight engineering. Where function meets form — design insights spanning concept ideation to production-ready validation.
Vehicle Analytics
Data-driven decision making for vehicle development. Sensor fusion, telemetry analysis, simulation pipelines, and performance benchmarking across the product lifecycle.
“There is a place beyond 7,000 RPM — where the noise fades, and only dynamics remains.”
Every object on wheels has always been and will always be fascinating. A car is never just a machine, it is freedom with four tyres, a dream bolted to a chassis. They have shaped civilisations, rewritten history, and set restless souls free. If you feel that pull — that relentless hunger to understand what lies beyond the limit, that fire belongs here. At our Vehicle Dynamics Intelligence Hub, we turn that passion into precision, building smart vehicle analytics solutions, publishing research prototypes, technical reviews, and case studies that push the boundary of what is possible.
“The road does not end at the horizon. It always evolve. Welcome to VxD — The Engine is Running.”
K. Avinash [AG]
VxD Team Landscape
A cohesive AI-driven team covering dynamics, control, design, and analytics across the vehicle lifecycle—delivering research proto, smart application toolbox and data-powered insights for next-generation mobility.
