Self-Driving Cars

166 papers with code • 0 benchmarks • 15 datasets

Self-driving cars : the task of making a car that can drive itself without human guidance.

( Image credit: Learning a Driving Simulator )

Libraries

Use these libraries to find Self-Driving Cars models and implementations

DiffSF: Diffusion Models for Scene Flow Estimation

zhangyushan3/diffsf 8 Mar 2024

Aiming at improving accuracy while additionally providing an estimate for uncertainty, we propose DiffSF that combines transformer-based scene flow estimation with denoising diffusion models.

5
08 Mar 2024

Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning

aliansgp/RL-SAC-CARLA 27 Dec 2023

This paper proposes a novel approach by integrating sensor fusion with deep reinforcement learning, specifically the Soft Actor-Critic (SAC) algorithm, to develop an optimal control policy for self-driving cars.

7
27 Dec 2023

Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars

roboak/nav-q 20 Nov 2023

In this work, we propose Nav-Q, the first quantum-supported DRL algorithm for CFN of self-driving cars, that leverages quantum computation for improving the training performance without the requirement for onboard quantum hardware.

0
20 Nov 2023

Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making

woodoxen/tactics2d 18 Nov 2023

For access to the source code and participation in discussions, visit the official GitHub page for Tactcis2D at https://github. com/WoodOxen/Tactics2D.

48
18 Nov 2023

Deep Perspective Transformation Based Vehicle Localization on Bird's Eye View

ipm-hpc/perspective-bev-transformer 12 Nov 2023

An accurate understanding of a self-driving vehicle's surrounding environment is crucial for its navigation system.

8
12 Nov 2023

Dialogue-based generation of self-driving simulation scenarios using Large Language Models

avmb/dialogllmscenic 26 Oct 2023

Simulation is an invaluable tool for developing and evaluating controllers for self-driving cars.

6
26 Oct 2023

Pre-Training LiDAR-Based 3D Object Detectors Through Colorization

tydpan/gpc 23 Oct 2023

Accurate 3D object detection and understanding for self-driving cars heavily relies on LiDAR point clouds, necessitating large amounts of labeled data to train.

1
23 Oct 2023

Extract-Transform-Load for Video Streams

ferdiko/vetl 7 Oct 2023

We find that no current system sufficiently fulfills both needs and therefore propose Skyscraper, a system tailored to V-ETL.

3
07 Oct 2023

Maximum diffusion reinforcement learning

murpheylab/maxdiffrl 26 Sep 2023

The assumption that data are independent and identically distributed underpins all machine learning.

7
26 Sep 2023

PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes

fuxiao0719/panopticnerf 19 Sep 2023

Moreover, PanopticNeRF-360 enables omnidirectional rendering of high-fidelity, multi-view and spatiotemporally consistent appearance, semantic and instance labels.

206
19 Sep 2023