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 2101–2150 of 6092 papers

TitleStatusHype
3D StreetUnveiler with Semantic-Aware 2DGS—0
Distilling Monocular Foundation Model for Fine-grained Depth Completion—0
Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model—0
Behavioural gap assessment of human-vehicle interaction in real and virtual reality-based scenarios in autonomous driving—0
Distance-Normalized Unified Representation for Monocular 3D Object Detection—0
A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System—0
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos—0
Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras—0
Displacement-Invariant Cost Computation for Efficient Stereo Matching—0
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras—0
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline—0
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction—0
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation—0
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation—0
Discrete-Event Controller Synthesis for Autonomous Systems with Deep-Learning Perception Components—0
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
Behaviorally Diverse Traffic Simulation via Reinforcement Learning—0
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation—0
Behavioral decision-making for urban autonomous driving in the presence of pedestrians using Deep Recurrent Q-Network—0
Ambiguous Annotations: When is a Pedestrian not a Pedestrian?—0
Trainable Pointwise Decoder Module for Point Cloud Segmentation—0
DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation—0
Direct Depth Learning Network for Stereo Matching—0
Behavioral Cloning Models Reality Check for Autonomous Driving—0
Dionysus: Recovering Scene Structures by Dividing Into Semantic Pieces—0
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification—0
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving—0
DINO-SD: Champion Solution for ICRA 2024 RoboDepth Challenge—0
DINO Pre-training for Vision-based End-to-end Autonomous Driving—0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving—0
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT—0
Game-Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems—0
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes—0
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence—0
Action Detection from a Robot-Car Perspective—0
Dilemma of the Artificial Intelligence Regulatory Landscape—0
A machine learning environment for evaluating autonomous driving software—0
Game Projection and Robustness for Game-Theoretic Autonomous Driving—0
GAN-Based LiDAR Intensity Simulation—0
DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving—0
Diffusion Models in 3D Vision: A Survey—0
Bayesian Multiobject Tracking With Neural-Enhanced Motion and Measurement Models—0
Diffusion Models for Intelligent Transportation Systems: A Survey—0
Diffusion Model for Planning: A Systematic Literature Review—0
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving—0
AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking—0
Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection—0
Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving—0
Diffusion-based 3D Object Detection with Random Boxes—0
Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving—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