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 3451–3475 of 6092 papers

TitleStatusHype
SuperDriverAI: Towards Design and Implementation for End-to-End Learning-based Autonomous Driving—0
SuperMapNet for Long-Range and High-Accuracy Vectorized HD Map Construction—0
SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization—0
Superpixel Transformers for Efficient Semantic Segmentation—0
Super Sparse 3D Object Detection—0
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving—0
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation—0
SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field—0
Surround-view Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-insensitive Multi-task Framework—0
Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges—0
Surround-View Vision-based 3D Detection for Autonomous Driving: A Survey—0
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles—0
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods—0
Survey on Monocular Metric Depth Estimation—0
Survey on Semantic Stereo Matching / Semantic Depth Estimation—0
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds—0
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation—0
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds—0
Switching Recurrent Kalman Networks—0
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies—0
Symbolic Perception Risk in Autonomous Driving—0
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation—0
SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine—0
SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models—0
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation 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