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 4101–4150 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
Extending One-Stage Detection with Open-World Proposals—0
Extending Silicon Lifetime: A Review of Design Techniques for Reliable Integrated Circuits—0
Extraction and Assessment of Naturalistic Human Driving Trajectories from Infrastructure Camera and Radar Sensors—0
EyeDAS: Securing Perception of Autonomous Cars Against the Stereoblindness Syndrome—0
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types—0
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective—0
Failure Prediction for Autonomous Driving—0
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving—0
FALCON: Frequency Adjoint Link with CONtinuous Density Mask for Fast Single Image Dehazing—0
FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback—0
FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback—0
FAST3D: Flow-Aware Self-Training for 3D Object Detectors—0
Fast and Accurate Object Detection on Asymmetrical Receptive Field—0
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs—0
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving—0
Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving—0
Faster and Smarter AutoAugment: Augmentation Policy Search Based on Dynamic Data-Clustering—0
FLIC: Fast Lidar Image Clustering—0
FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View—0
Fast Occupancy Network—0
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications—0
Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving—0
Fast-Spherical-Projection-Based Point Cloud Clustering Algorithm—0
Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead—0
SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior—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