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 5026–5050 of 6092 papers

TitleStatusHype
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