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 5651–5675 of 6092 papers

TitleStatusHype
Automotive Radar Data Acquisition using Object DetectionCode0
Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving SystemsCode0
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous VehiclesCode0
Multi-modality Anomaly Segmentation on the RoadCode0
Multimodal 3D Object Detection from Simulated PretrainingCode0
The ADUULM-360 Dataset -- A Multi-Modal Dataset for Depth Estimation in Adverse WeatherCode0
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object TrackingCode0
RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave RadarCode0
Dense open-set recognition with synthetic outliers generated by Real NVPCode0
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged RoadsCode0
Radial Prediction LayerCode0
Multi-Agent Tensor Fusion for Contextual Trajectory PredictionCode0
Characterizing Attacks on Deep Reinforcement LearningCode0
Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect CommunicationCode0
Shielding Atari Games with Bounded PrescienceCode0
AutoRemover: Automatic Object Removal for Autonomous Driving VideosCode0
From perception to control: an autonomous driving system for a formula student driverless carCode0
From Coarse to Fine: Robust Hierarchical Localization at Large ScaleCode0
Multi-Agent Quantum Reinforcement Learning using Evolutionary OptimizationCode0
TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object DetectionCode0
RAIL: Risk-Averse Imitation LearningCode0
TS-CGNet: Temporal-Spatial Fusion Meets Centerline-Guided Diffusion for BEV MappingCode0
SHTOcc: Effective 3D Occupancy Prediction with Sparse Head and Tail VoxelsCode0
Siamese-DETR for Generic Multi-Object TrackingCode0
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented LearningCode0
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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