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 4101–4125 of 6092 papers

TitleStatusHype
Exploiting Sparsity in Automotive Radar Object Detection Networks—0
Exploiting Temporal Relations on Radar Perception for Autonomous Driving—0
Exploiting T-norms for Deep Learning in Autonomous Driving—0
Exploring acceptance of autonomous vehicle policies using KeyBERT and SNA: Targeting engineering students—0
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving—0
Exploring applications of deep reinforcement learning for real-world autonomous driving systems—0
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach—0
Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers—0
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions—0
Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer—0
Exploring Effects of Computational Parameter Changes to Image Recognition Systems—0
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN—0
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder—0
Exploring OpenStreetMap Availability for Driving Environment Understanding—0
Exploring Probabilistic Models for Semi-supervised Learning—0
Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models—0
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation—0
Exploring Semi-Supervised Learning for Online Mapping—0
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data—0
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey—0
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving—0
Exploring the Untouched Sweeps for Conflict-Aware 3D Segmentation Pretraining—0
Exploring Transformer-Augmented LSTM for Temporal and Spatial Feature Learning in 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