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 6026–6050 of 6092 papers

TitleStatusHype
Learning to Drive by Imitating Surrounding Vehicles—0
Learning to Drive by Observing the Best and Synthesizing the Worst—0
Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks—0
Learning to Drive Using Sparse Imitation Reinforcement Learning—0
Learning to falsify automated driving vehicles with prior knowledge—0
Learning to Influence Human Behavior with Offline Reinforcement Learning—0
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning—0
Learning to Optimize Autonomy in Competence-Aware Systems—0
Learning to Predict Vehicle Trajectories with Model-based Planning—0
Learning to Rank for Active Learning: A Listwise Approach—0
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios—0
Learning to Switch Among Agents in a Team via 2-Layer Markov Decision Processes—0
Learning to Track: Online Multi-Object Tracking by Decision Making—0
Energy-Based Continuous Inverse Optimal Control—0
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving—0
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion—0
Learning with Chemical versus Electrical Synapses -- Does it Make a Difference?—0
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning—0
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains—0
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing—0
LEGO-Motion: Learning-Enhanced Grids with Occupancy Instance Modeling for Class-Agnostic Motion Prediction—0
LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset—0
Training Data Subset Search with Ensemble Active Learning—0
Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies—0
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction—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