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

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Showing 3151–3200 of 6092 papers

TitleStatusHype
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving—0
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions—0
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation—0
Safe POMDP Online Planning via Shielding—0
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning—0
Safe Reach Set Computation via Neural Barrier Certificates—0
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts—0
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization—0
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging—0
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference—0
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving—0
Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving—0
Safety Analysis of Autonomous Driving Systems Based on Model Learning—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
Safe Autonomous Racing via Approximate Reachability on Ego-vision—0
Safety Control with Preview Automaton—0
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model—0
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving—0
USC: Uncompromising Spatial Constraints for Safety-Oriented 3D Object Detectors in Autonomous Driving—0
Safety Metrics for Semantic Segmentation in Autonomous Driving—0
Safety Verification of Model Based Reinforcement Learning Controllers—0
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection—0
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context—0
SAM2 for Image and Video Segmentation: A Comprehensive Survey—0
SAM4D: Segment Anything in Camera and LiDAR Streams—0
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation—0
Physics-informed Imitative Reinforcement Learning for Real-world Driving—0
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows—0
Satyam: Democratizing Groundtruth for Machine Vision—0
Scalable Active Learning for Object Detection—0
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers—0
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition—0
Scalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning—0
Scalable Detection and Tracking of Geometric Extended Objects—0
Scalable Place Recognition Under Appearance Change for Autonomous Driving—0
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles—0
Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning—0
Scaling Motion Forecasting Models with Ensemble Distillation—0
SCaRL- A Synthetic Multi-Modal Dataset for Autonomous Driving—0
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction—0
Scenario Understanding of Traffic Scenes Through Large Visual Language Models—0
Scene-Aware Conversational ADAS with Generative AI for Real-Time Driver Assistance—0
SceneCalib: Automatic Targetless Calibration of Cameras and Lidars in Autonomous Driving—0
Neural Eulerian Scene Flow Fields—0
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation—0
Efficient Data Representation for Motion Forecasting: A Scene-Specific Trajectory Set Approach—0
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents—0
Scene Understanding for Autonomous Driving—0
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System—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