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 2051–2075 of 6092 papers

TitleStatusHype
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving—0
FGU3R: Fine-Grained Fusion via Unified 3D Representation for Multimodal 3D Object Detection—0
Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction—0
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving—0
SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving—0
Image Segmentation: Inducing graph-based learningCode0
LDMapNet-U: An End-to-End System for City-Scale Lane-Level Map Updating—0
A Novel Vision Transformer for Camera-LiDAR Fusion based Traffic Object Segmentation—0
MObI: Multimodal Object Inpainting Using Diffusion Models—0
4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic SegmentationCode0
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent DetectionCode0
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey—0
Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory—0
Adverse Weather Conditions Augmentation of LiDAR Scenes with Latent Diffusion Models—0
MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception—0
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory—0
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework—0
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception—0
Shape and Texture: What Influences Reliable Optical Flow Estimation?—0
DriveScape: High-Resolution Driving Video Generation by Multi-View Feature Fusion—0
DriveGPT4-V2: Harnessing Large Language Model Capabilities for Enhanced Closed-Loop Autonomous Driving—0
Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting—0
Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks—0
Distilling Monocular Foundation Model for Fine-grained Depth Completion—0
VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network—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