Offroad Autonomous Vehicle Control

Overview

50% computational speedup for Model Predictive Path Integral (MPPI) control framework through efficient C++ implementation with GPU acceleration.

Problem

Offroad autonomous navigation requires real-time trajectory optimization. Traditional implementations too slow for embedded platforms in challenging terrain.

Solution

Implemented MPPI control in C++ using LibTorch and CUDA optimization. Validated algorithm robustness through replay data simulations. Integrated GPU-accelerated trajectory sampling for resource-constrained embedded deployment.

Impact

• 50% faster: Computational efficiency for real-time control
• GPU-accelerated: CUDA-optimized trajectory sampling
• Validated robustness: Replay simulation testing
• Embedded-ready: Optimized for resource-constrained platforms