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 1601–1625 of 6092 papers

TitleStatusHype
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles—0
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision—0
Bridging the gap between Markowitz planning and deep reinforcement learning—0
An End-to-End Vehicle Trajcetory Prediction Framework—0
Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation—0
An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images—0
Adaptive Instance Distillation for Object Detection in Autonomous Driving—0
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams—0
Brain Inspired Cognitive Model with Attention for Self-Driving Cars—0
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models—0
Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher—0
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection—0
5G PRS-Based Sensing: A Sensing Reference Signal Approach for Joint Sensing and Communication System—0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles—0
Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?—0
BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statistics—0
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains—0
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection—0
Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving—0
Adaptive Field Effect Planner for Safe Interactive Autonomous Driving on Curved Roads—0
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions—0
BOTT: Box Only Transformer Tracker for 3D Object Tracking—0
BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving using POMDPs—0
An Empirical Study of Adder Neural Networks for Object Detection—0
Bosch Deep Learning Hardware Benchmark—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