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 2576–2600 of 6092 papers

TitleStatusHype
TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic SegmentationCode1
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentationCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous DrivingCode1
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
You Only Look at Once for Real-time and Generic Multi-TaskCode2
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
Streaming Motion Forecasting for Autonomous DrivingCode1
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model—0
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving EnvironmentsCode1
Towards Robust 3D Object Detection In Rainy Conditions—0
Offline Tracking with Object PermanenceCode1
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis—0
GPT-Driver: Learning to Drive with GPTCode2
Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation—0
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings—0
MMPI: a Flexible Radiance Field Representation by Multiple Multi-plane Images Blending—0
GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation—0
A Survey on Deep Learning Techniques for Action Anticipation—0
GAIA-1: A Generative World Model for Autonomous DrivingCode2
Superpixel Transformers for Efficient Semantic Segmentation—0
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection—0
Gated Cross-Attention Network for Depth Completion—0
BEVHeight++: Toward Robust Visual Centric 3D Object Detection—0
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language ModelsCode2
Show:102550
← PrevPage 104 of 244Next →
All datasetsCARLA LeaderboardTown05 LongTown05 Short

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