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 976–1000 of 6092 papers

TitleStatusHype
SpaRC: Sparse Radar-Camera Fusion for 3D Object DetectionCode0
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration—0
InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception—0
Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving—0
T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving—0
UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation—0
Visual SLAMMOT Considering Multiple Motion Models—0
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving—0
Mapping Public Perception of Artificial Intelligence: Expectations, Risk-Benefit Tradeoffs, and Value As Determinants for Societal Acceptance—0
SADG: Segment Any Dynamic Gaussian Without Object TrackersCode2
FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback—0
Visual Adversarial Attack on Vision-Language Models for Autonomous Driving—0
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning—0
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel ObjectsCode1
OpenAD: Open-World Autonomous Driving Benchmark for 3D Object DetectionCode2
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features—0
Stealthy Multi-Task Adversarial Attacks—0
DECODE: Domain-aware Continual Domain Expansion for Motion PredictionCode0
Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors—0
LHPF: Look back the History and Plan for the Future in Autonomous Driving—0
CoA: Chain-of-Action for Generative Semantic LabelsCode0
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving—0
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving—0
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation—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