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Name: Yogesh Gajjar

Type: User

Company: University of Southern California

Bio: Grad Student at USC | Autonomous Vehicles | Robotics | Machine Learning

Location: Los Angeles

Blog: https://yogeshgajjar123.github.io/

Hi, I'm Yogesh 👋

I'm a software engineer based in Los Angeles, CA, and an Electrical Engineering Graduate student at the University of Southern California. I'm an ambitious and self-motivated graduate with a strong inclination towards Computer Vision/Perception in Autonomous Driving.

I work with Prof. Jyotirmoy Deshmukh at USC CPS-VIDA as a Graduate Researcher and with Frenzy Labs, Inc as a Computer Vision Intern. I like to create things that involve a camera, LiDAR, and a car. The fusion makes it undeniably beautiful, especially the world it creates around it. The future of this fusion is near, and I'm excited to a part of it.

I'm seeking full-time opportunities starting in January 2021 with roles in Computer Vision, Perception, Robotics, Autonomous Driving.

🔭 I’m currently developing a F1/10th autonomous vehicle
🌱 I’m currently learning how to manage work 👨‍💻 and social life together 🎉
👨‍💻 Visit my porfolio website for complete background and contact.
💬 Ask me about : Autonomous Driving, Perception, Machine Learning & Robotics
⚡ Fun fact : I'm a national level tennis player 🎾 and I play drums! 🥁

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Yogesh Gajjar's Projects

bdd100k-yolov3-tiny

Road object detection on Berkeley DeepDrive (BDD) 100k images with a total of 10 classes.

bosch-traffic-sign-detection-yolov3

Traffic Sign Detection using the state-of-the-art YOLOv3 object detection algorithm on Bosch Small Traffic Sign Dataset.

cartographer_data

classification_svm

Multi-Class and Multi-Label Classification using Support Vector Machines

cnn-cifar-10-image-classification

CNN based CIFAR-10 Image Classifier using All-CNN (YGNet) architecture (90% accuracy) and LeNet-5 architecture (74% accuracy)

cnn-distracted-driver-classification

Distracted driver classification using Vanilla CNN architecture achieving 99% accuracy.

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

f1tenth_system

Drivers and system level code for the F1TENTH vehicles

ideas

IDEAS - Intelligent Driver Enhanced Assistance System platform for driver's drowsiness detection and emotion detection

image-processing-algorithms

This repository contains important image processing algorithms from scratch

kalman-filter

Kalman Filter

knn_classifier

lane_detection

Lane detection using images

logistic_regression

Time Series Classification using Logistic Regression

mnist_pca_knn

Dimensionality reduction using PCA and classification of images using own designed KNN on MNIST dataset

parrotminidronecompetition

rrt-motion-planning

RRT

self_driving

Programs & Project related to Udacity AI for Robotics MOOC

sentiment-analysis-of-user-reviews

Sentiment Analysis of User Reviews

sfnd_lidar_obstacle_detection

3D LiDAR obstacle detection on point cloud data using segmentation and clustering.

sfnd_unscented_kalman_filter

tars-race-on

1/10th size autonomous car using image processing

temp_match_cv

Template Matching - A method for searching and finding the location of a template image in a larger image.

yogeshgajjar

About me

1

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