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 3401–3425 of 6092 papers

TitleStatusHype
DaDe: Delay-adaptive Detector for Streaming PerceptionCode0
Multi Lane Detection—0
Vision-Based Environmental Perception for Autonomous Driving—0
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios—0
Decision-making and control with diffractive optical networksCode0
ParallelNet: Multi-mode Trajectory Prediction by Multi-mode Trajectory Fusion—0
Planning-oriented Autonomous DrivingCode4
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task—0
TAS-NIR: A VIS+NIR Dataset for Fine-grained Semantic Segmentation in Unstructured Outdoor Environments—0
Hardware Acceleration of Lane Detection Algorithm: A GPU Versus FPGA Comparison—0
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP BenchmarkCode1
Cognitive Level-k Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving—0
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving—0
Neural Enhanced Belief Propagation for Multiobject TrackingCode0
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving—0
Interpretable ML for Imbalanced DataCode0
DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention—0
Efficient Visual Computing with Camera RAW SnapshotsCode1
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving—0
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds—0
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving—0
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers—0
IMAGINE: An Integrated Model of Artificial Intelligence-Mediated Communication Effects—0
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals—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