Autonomous Vehicles

514 papers with code • 1 benchmarks • 27 datasets

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Libraries

Use these libraries to find Autonomous Vehicles models and implementations

Most implemented papers

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

Microsoft/AirSim 15 May 2017

Developing and testing algorithms for autonomous vehicles in real world is an expensive and time consuming process.

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

autoliuweijie/FastBERT 8 Mar 2021

Mobile devices such as smartphones and autonomous vehicles increasingly rely on deep neural networks (DNNs) to execute complex inference tasks such as image classification and speech recognition, among others.

Flow: A Modular Learning Framework for Mixed Autonomy Traffic

flow-project/flow 16 Oct 2017

Furthermore, in single-lane traffic, a small neural network control law with only local observation is found to eliminate stop-and-go traffic - surpassing all known model-based controllers to achieve near-optimal performance - and generalize to out-of-distribution traffic densities.

nuScenes: A multimodal dataset for autonomous driving

nutonomy/nuscenes-devkit CVPR 2020

Most autonomous vehicles, however, carry a combination of cameras and range sensors such as lidar and radar.

Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

ydhongHIT/DDRNet 15 Jan 2021

The proposed deep dual-resolution networks (DDRNets) are composed of two deep branches between which multiple bilateral fusions are performed.

LEAF: A Benchmark for Federated Settings

TalwalkarLab/leaf 3 Dec 2018

Modern federated networks, such as those comprised of wearable devices, mobile phones, or autonomous vehicles, generate massive amounts of data each day.

Counterfactual Multi-Agent Policy Gradients

opendilab/DI-engine 24 May 2017

COMA uses a centralised critic to estimate the Q-function and decentralised actors to optimise the agents' policies.

DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes

BertaBescos/DynaSLAM 14 Jun 2018

And it also estimates a map of the static parts of the scene, which is a must for long-term applications in real-world environments.

LiDAR-Camera Calibration using 3D-3D Point correspondences

ankitdhall/lidar_camera_calibration 27 May 2017

With the advent of autonomous vehicles, LiDAR and cameras have become an indispensable combination of sensors.

Joint 3D Proposal Generation and Object Detection from View Aggregation

kujason/avod 6 Dec 2017

We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios.