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 2426–2450 of 6092 papers

TitleStatusHype
Efficient Driving Behavior Narration and Reasoning on Edge Device Using Large Language Models—0
OccRWKV: Rethinking Efficient 3D Semantic Occupancy Prediction with Linear Complexity—0
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving—0
Spatial Reasoning and Planning for Deep Embodied Agents—0
Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads using Deep Convolutional NetworkCode0
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
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
MemFusionMap: Working Memory Fusion for Online Vectorized HD Map Construction—0
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning—0
PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDAR—0
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving—0
Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning—0
Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designs—0
Optical Lens Attack on Deep Learning Based Monocular Depth Estimation—0
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors—0
Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer—0
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models—0
Skyeyes: Ground Roaming using Aerial View Images—0
Diffusion Models for Intelligent Transportation Systems: A Survey—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