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 3926–3950 of 6092 papers

TitleStatusHype
Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction—0
Why current rain denoising models fail on CycleGAN created rain images in autonomous driving—0
WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction—0
A Survey on Large Language Model-empowered Autonomous Driving—0
Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient—0
Winning the ICCV 2019 Learning to Drive Challenge—0
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving—0
Wolf: Captioning Everything with a World Summarization Framework—0
Woodscape Fisheye Object Detection for Autonomous Driving -- CVPR 2022 OmniCV Workshop Challenge—0
Woodscape Fisheye Semantic Segmentation for Autonomous Driving -- CVPR 2021 OmniCV Workshop Challenge—0
WoodScape Motion Segmentation for Autonomous Driving -- CVPR 2023 OmniCV Workshop Challenge—0
Work-in-Progress: Traded Control Transfer for Managing Real-Time Sensor Uncertainties in Autonomous Vehicle—0
World knowledge-enhanced Reasoning Using Instruction-guided Interactor in Autonomous Driving—0
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving—0
World Models for Autonomous Driving: An Initial Survey—0
WorldSimBench: Towards Video Generation Models as World Simulators—0
WTCL-Dehaze: Rethinking Real-world Image Dehazing via Wavelet Transform and Contrastive Learning—0
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding—0
X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation—0
X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation—0
X-Driver: Explainable Autonomous Driving with Vision-Language Models—0
XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis—0
XLM for Autonomous Driving Systems: A Comprehensive Review—0
X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability—0
X-view: Non-egocentric Multi-View 3D Object Detector—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