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

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Showing 2551–2575 of 2605 papers

TitleStatusHype
Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed-Human-Automated TrafficCode0
Data-Driven Reachability Analysis for Piecewise Affine SystemsCode0
Sparse and noisy LiDAR completion with RGB guidance and uncertaintyCode0
Sparse and noisy LiDAR completion with RGB guidance anduncertaintyCode0
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded CampusCode0
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent SettingsCode0
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial ImpostersCode0
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learningCode0
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty QuantificationCode0
xSRL: Safety-Aware Explainable Reinforcement Learning -- Safety as a Product of ExplainabilityCode0
Inception-inspired LSTM for Next-frame Video PredictionCode0
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection InferenceCode0
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement LearningCode0
Causal Explanations for Sequential Decision-Making in Multi-Agent SystemsCode0
Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity SimulationCode0
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing FlowsCode0
Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving ScenesCode0
Pre-Training LiDAR-Based 3D Object Detectors Through ColorizationCode0
Data-Driven Falsification of Cyber-Physical SystemsCode0
Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ ArchitectureCode0
Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic CorridorCode0
Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial VehiclesCode0
Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant SystemsCode0
Data Assimilation in Chaotic Systems Using Deep Reinforcement LearningCode0
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Benchmark Results

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