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

Showing 11261150 of 6092 papers

TitleStatusHype
SparseTem: Boosting the Efficiency of CNN-Based Video Encoders by Exploiting Temporal Continuity0
Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving0
Neural Fields in Robotics: A SurveyCode5
CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCoCode0
Multi-modal Motion Prediction using Temporal Ensembling with Learning-based Aggregation0
Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving0
Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning0
CARLA2Real: a tool for reducing the sim2real gap in CARLA simulatorCode2
WorldSimBench: Towards Video Generation Models as World Simulators0
YOLO-Vehicle-Pro: A Cloud-Edge Collaborative Framework for Object Detection in Autonomous Driving under Adverse Weather Conditions0
Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in CrossroadsCode0
SpikMamba: When SNN meets Mamba in Event-based Human Action RecognitionCode1
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning0
YOLO-TS: Real-Time Traffic Sign Detection with Enhanced Accuracy Using Optimized Receptive Fields and Anchor-Free Fusion0
Pedestrian motion prediction evaluation for urban autonomous drivingCode0
SPARC: Prediction-Based Safe Control for Coupled Controllable and Uncontrollable Agents with Conformal Predictions0
Generalizing Motion Planners with Mixture of Experts for Autonomous DrivingCode3
WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction0
Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance0
Bench4Merge: A Comprehensive Benchmark for Merging in Realistic Dense Traffic with Micro-Interactive VehiclesCode0
Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving0
How to Build a Pre-trained Multimodal model for Simultaneously Chatting and Decision-making?0
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges0
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local ExplanationsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified