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 5001–5025 of 6092 papers

TitleStatusHype
PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation—0
Explainability of deep vision-based autonomous driving systems: Review and challenges—0
Learning to Anticipate Egocentric Actions by Imagination—0
A Unified Framework for Online Trip Destination Prediction—0
TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking—0
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing—0
GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS—0
PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation—0
L2PF -- Learning to Prune Faster—0
Learning Grammar of Complex Activities via Deep Neural Networks—0
ISETAuto: Detecting vehicles with depth and radiance information—0
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey—0
Prior Knowledge Input to Improve LSTM Auto-encoder-based Characterization of Vehicular Sensing Data—0
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann MachinesCode0
Semantics for Robotic Mapping, Perception and Interaction: A Survey—0
Driving through the Lens: Improving Generalization of Learning-based Steering using Simulated Adversarial Examples—0
Faster and Smarter AutoAugment: Augmentation Policy Search Based on Dynamic Data-Clustering—0
Active Learning for Lane Detection: A Knowledge Distillation Approach—0
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset—0
Motion Forecasting with Unlikelihood Training—0
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers—0
Efficiently Troubleshooting Image Segmentation Models with Human-In-The-Loop—0
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series—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