🌍 Discover advancements in 3D scene understanding with LiDAR techniques for semantic and panoptic segmentation, plus occupancy prediction.

🌐 A curated collection of vision-language-action (VLA) models for autonomous driving applications

🌐 3D and 4D World Modeling: A Survey

🌐 A curated collection of large-scale 3D scene understanding models with real-world applications

Website of the SegmentMeIfYouCan benchmark.

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

📐 Personal GitHub web page. Based on the minimal-mistakes Jekyll theme.

This repository hosts the Zenseact Open Dataset website.

A framework for the analysis of trust in the interaction between pedestrians and vehicle (manual and automated), from the perspective of the driver of a manual or an automated vehicle, using a crowdsourcing approach.

End to End Autopilot Perception Playbook

Jekyll code for the website Computationally Thinking Blog

Comparing the performance of MPC based racing and RL based racing

A framework for the analysis of un(certainty) in traffic, using a crowdsourcing approach.

Countdown for all* relevant conferences in the domain of autonomous driving

Lokale Navigation von Mikromobilitätsfahrzeugen mittels Reinforcement Learning

Udacity Introduction to self-driving cars Nanodegree

Multi-Object Tracking and Trajectory Prediction. This repository contains all codes written for SUMMER RESEARCH INTERNSHIP (2021) at AI and Robotics Park (ARTPARK), IISc Bangalore

My personal website

Inspired by comma.ai OpenPilot idea, this is an AD Autopilot on RaspberryPi based on ROS called RosPilot. The project currently performs lane follow feature. The codebase is written to be modular, enable quick prototyping and facilitate learning and collaboration across multiple users. The hardware used so far is the donkey car robocar + RPI 3