SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle 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: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5001–5050 of 6092 papers

TitleStatusHype
Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities—0
Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges—0
Radar Spectra-Language Model for Automotive Scene Parsing—0
RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving—0
RadSegNet: A Reliable Approach to Radar Camera Fusion—0
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation—0
RadSplatter: Extending 3D Gaussian Splatting to Radio Frequencies for Wireless Radiomap Extrapolation—0
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning—0
RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models—0
RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes—0
RailYolact -- A Yolact Focused on edge for Real-Time Rail Segmentation—0
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting—0
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection Systems—0
Randomized Adversarial Imitation Learning for Autonomous Driving—0
Range Adaptation for 3D Object Detection in LiDAR—0
RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union—0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
Ranging Performance Analysis in Automotive DToF Lidars—0
Ranking-aware Continual Learning for LiDAR Place Recognition—0
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving—0
RASMD: RGB And SWIR Multispectral Driving Dataset for Robust Perception in Adverse Conditions—0
Rate-Accuracy Bounds in Visual Coding for Machines—0
Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator—0
Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)—0
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network—0
RCFusion: Fusing 4-D Radar and Camera With Bird’s-Eye View Features for 3-D Object Detection—0
RDMNet: Reliable Dense Matching Based Point Cloud Registration for Autonomous Driving—0
Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions—0
Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement—0
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution—0
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling—0
Real-Time And Robust 3D Object Detection with Roadside LiDARs—0
Real time backbone for semantic segmentation—0
Real-Time Detection and Analysis of Vehicles and Pedestrians using Deep Learning—0
Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps—0
Real-time End-to-End Federated Learning: An Automotive Case Study—0
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras—0
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving—0
Real-time Lane Marker Detection Using Template Matching with RGB-D Camera—0
Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck—0
Real Time Monocular Vehicle Velocity Estimation using Synthetic Data—0
Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation—0
Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN—0
Real-time Multi-view Omnidirectional Depth Estimation System for Robots and Autonomous Driving on Real Scenes—0
Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving—0
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks—0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network—0
Real-time Streaming Perception System for Autonomous Driving—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified