SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1626–1650 of 2605 papers

TitleStatusHype
Model-Based Robust Adaptive Semantic Segmentation—0
Causal Scene BERT: Improving object detection by searching for challenging groups—0
StereoSpike: Depth Learning with a Spiking Neural NetworkCode1
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—0
A taxonomy of strategic human interactions in traffic conflicts—0
Online Robust MPC based Emergency Maneuvering System for Autonomous Vehicles—0
Federated Feature Selection for Cyber-Physical Systems of Systems—0
Domain Generalization for Vision-based Driving Trajectory GenerationCode1
Towards cyber-physical systems robust to communication delays: A differential game approach—0
PDFNet: Pointwise Dense Flow Network for Urban-Scene SegmentationCode0
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futuresCode1
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames—0
Generalized dynamic cognitive hierarchy models for strategic driving behavior—0
DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar—0
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
A Framework for Multisensory Foresight for Embodied AgentsCode0
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter WeatherCode0
Image Deraining and Denoising Convolutional Neural Network ForAutonomous Driving—0
Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling—0
Learning to Navigate Intersections with Unsupervised Driver Trait InferenceCode1
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain—0
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models—0
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous VehiclesCode1
Autonomous Vehicles for Ride-Hailing—0
Interactive multi-modal motion planning with Branch Model Predictive ControlCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified