Perception Engineer

  • Curious to solve real-world problems through Deep Learning, Computer Vision, Sensor Fusion
  • Software Engineer Professional passionate to make Autonomous vehicles a reality
  • Looking to give back through technical content creation at thinkautonomous.ai

Deep Learning Blogs

Technical writeups, mini-projects about Deep Learning applications to Autonomous vehicles

3D Object Detection

3D OD from Lidar Point Cloud using PV-RCNN, Point Voxel based Deep Learning Architectures on KITTI Dataset.

SEGFORMERS

Semantic segmentation using Segformers, Transformer based Architectures on Cityscapes Dataset.

Multi Object Tracking

Bayesian statistics, Kalman filter based Tracking Algorithms like Multi-Hypothesis Tracker, RFS based filters like GMPHD, PMBM

Neural Optimization

Optimizing Deep Learning Models for Deployment using Pruning, Quantization, Knowledge Distillation techniques

IMAGE SEGMENTATION

Driveable Area Segmentation on BDD100K Dataset. Detailed comparison b/w Models, loss fns, metrics and references