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 3626–3650 of 6092 papers

TitleStatusHype
AutoGraph: Predicting Lane Graphs from Traffic ObservationsCode0
What Truly Matters in Trajectory Prediction for Autonomous Driving?—0
Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving—0
Rethinking Closed-loop Training for Autonomous Driving—0
Imitation with Spatial-Temporal Heatmap: 2nd Place Solution for NuPlan Challenge—0
SIMMF: Semantics-aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving—0
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey—0
BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction—0
Enhancing Mapless Trajectory Prediction through Knowledge Distillation—0
Active Data Acquisition in Autonomous Driving SimulationCode0
An Overview about Emerging Technologies of Autonomous Driving—0
Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions—0
BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic ScenariosCode0
Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving—0
Collision Avoidance Detour for Multi-Agent Trajectory Forecasting—0
Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation—0
UniG3D: A Unified 3D Object Generation Dataset—0
A Study on Quantifying Sim2Real Image Gap in Autonomous Driving Simulations Using Lane Segmentation Attention Map Similarity—0
A survey on deep learning approaches for data integration in autonomous driving system—0
Towards exploring adversarial learning for anomaly detection in complex driving scenes—0
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation—0
Towards Better Certified Segmentation via Diffusion ModelsCode0
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation—0
Mixed-ADC Based PMCW MIMO Radar Angle-Doppler Imaging—0
Neural World Models for Computer Vision—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