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 3851–3900 of 6092 papers

TitleStatusHype
Learning Feasibility Constraints for Control Barrier Functions—0
MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors—0
Rethinking Range View Representation for LiDAR Segmentation—0
Learning Representation for Anomaly Detection of Vehicle Trajectories—0
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design—0
Exploring Adversarial Attacks on Neural Networks: An Explainable ApproachCode0
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks—0
You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings—0
Foundation Models for Decision Making: Problems, Methods, and Opportunities—0
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection—0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks—0
MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal calibration—0
APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian Path Networks—0
Exploiting Implicit Rigidity Constraints via Weight-Sharing Aggregation for Scene Flow Estimation from Point CloudsCode0
Visual Saliency-Guided Channel Pruning for Deep Visual Detectors in Autonomous Driving—0
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving—0
Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion—0
Visual Perception System for Autonomous Driving—0
Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-LevelCode0
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees—0
Learning to Influence Human Behavior with Offline Reinforcement Learning—0
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review—0
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning—0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation—0
EdgeServe: A Streaming System for Decentralized Model Serving—0
To Make Yourself Invisible with Adversarial Semantic Contours—0
AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions—0
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving—0
Online Black-Box Confidence Estimation of Deep Neural Networks—0
A Survey on Uncertainty Quantification Methods for Deep Learning—0
Revisiting Modality Imbalance In Multimodal Pedestrian Detection—0
SEO: Safety-Aware Energy Optimization Framework for Multi-Sensor Neural Controllers at the Edge—0
Multi-RIS-Enabled 3D Sidelink Positioning—0
Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation—0
Efficient Context Integration through Factorized Pyramidal Learning for Ultra-Lightweight Semantic Segmentation—0
Transformer-Based Sensor Fusion for Autonomous Driving: A SurveyCode0
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset—0
Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information—0
MonoPGC: Monocular 3D Object Detection with Pixel Geometry Contexts—0
Causal Explanations for Sequential Decision-Making in Multi-Agent SystemsCode0
MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion—0
Credal Bayesian Deep Learning—0
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles—0
3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection—0
Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality MetaversesCode0
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection—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