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

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Showing 5351–5400 of 6092 papers

TitleStatusHype
Deep Neural Network Perception Models and Robust Autonomous Driving Systems—0
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
RODNet: Radar Object Detection Using Cross-Modal SupervisionCode1
Analyzing Accuracy Loss in Randomized Smoothing Defenses—0
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization—0
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification—0
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method—0
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D GeometryCode1
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object DetectionCode1
FLIC: Fast Lidar Image Clustering—0
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
3D Point Cloud Processing and Learning for Autonomous Driving—0
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice—0
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection—0
Human-Machine Collaboration for Automated Vehicles via an Intelligent Two-Phase Haptic Interface—0
Training Adversarial Agents to Exploit Weaknesses in Deep Control PoliciesCode0
TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images—0
Pedestrian Models for Autonomous Driving Part I: Low-Level Models, from Sensing to Tracking—0
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs—0
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approachCode0
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving ImagesCode1
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances—0
Spatiotemporal Relationship Reasoning for Pedestrian Intent PredictionCode1
Key Points Estimation and Point Instance Segmentation Approach for Lane DetectionCode1
An LSTM-Based Autonomous Driving Model Using Waymo Open DatasetCode1
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed TrafficCode1
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic—0
Adapting to Unseen Environments through Explicit Representation of Context—0
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud—0
Learning to Switch Among Agents in a Team via 2-Layer Markov Decision Processes—0
Multi-Modality Cascaded Fusion Technology for Autonomous Driving—0
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning—0
Lane Boundary Geometry Extraction from Satellite Imagery—0
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving ModelsCode1
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study—0
TPPO: A Novel Trajectory Predictor with Pseudo Oracle—0
Centimeter-Level Indoor Localization using Channel State Information with Recurrent Neural Networks—0
Deep Reinforcement Learning for Autonomous Driving: A Survey—0
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving—0
Universal Semantic Segmentation for Fisheye Urban Driving ImagesCode1
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles—0
Virtual KITTI 2—0
Evaluating Robustness to Context-Sensitive Feature Perturbations of Different Granularities—0
Localization in Autonomous Vehicles Using a Generalized Inner Product—0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
SDOD:Real-time Segmenting and Detecting 3D Object by Depth—0
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous VehiclesCode0
Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving—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