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 1226–1250 of 6092 papers

TitleStatusHype
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based AgentsCode3
Neural Eulerian Scene Flow Fields—0
Open3DTrack: Towards Open-Vocabulary 3D Multi-Object TrackingCode1
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks—0
Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction—0
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility ConditionsCode0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—0
SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs—0
GSPR: Multimodal Place Recognition Using 3D Gaussian Splatting for Autonomous DrivingCode2
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
OccRWKV: Rethinking Efficient 3D Semantic Occupancy Prediction with Linear Complexity—0
Efficient Driving Behavior Narration and Reasoning on Edge Device Using Large Language Models—0
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving—0
Spatial Reasoning and Planning for Deep Embodied Agents—0
BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving using POMDPs—0
Analysis of Truncated Singular Value Decomposition for Koopman Operator-Based Lane Change Model—0
Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads using Deep Convolutional NetworkCode0
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving—0
Does End-to-End Autonomous Driving Really Need Perception Tasks?Code3
MemFusionMap: Working Memory Fusion for Online Vectorized HD Map Construction—0
CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention—0
Adaptive Stream Processing on Edge Devices through Active Inference—0
ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts—0
DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models—0
AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking—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