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Trajectory Prediction

22 papers with code · Computer Vision

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Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

CVPR 2018 agrimgupta92/sgan

Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments.

SELF-DRIVING CARS TRAJECTORY PREDICTION

Joint Monocular 3D Vehicle Detection and Tracking

ICCV 2019 ucbdrive/3d-vehicle-tracking

The framework can not only associate detections of vehicles in motion over time, but also estimate their complete 3D bounding box information from a sequence of 2D images captured on a moving platform.

3D OBJECT DETECTION 3D POSE ESTIMATION AUTONOMOUS VEHICLES MULTIPLE OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING TRAJECTORY PREDICTION

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

CVPR 2019 google/next-prediction

To facilitate the training, the network is learned with an auxiliary task of predicting future location in which the activity will happen.

ACTIVITY PREDICTION FUTURE PREDICTION MULTI-TASK LEARNING TRAJECTORY PREDICTION

Convolutional Social Pooling for Vehicle Trajectory Prediction

15 May 2018nachiket92/conv-social-pooling

Forecasting the motion of surrounding vehicles is a critical ability for an autonomous vehicle deployed in complex traffic.

TRAJECTORY PREDICTION

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs

CVPR 2019 amiryanj/socialways

We show through experiments on real and synthetic data that the proposed method leads to generate more diverse samples and to preserve the modes of the predictive distribution.

SELF-DRIVING CARS TRAJECTORY PREDICTION

Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction

CVPR 2018 svip-lab/CIDNN

Specifically, motivated by the residual learning in deep learning, we propose to predict displacement between neighboring frames for each pedestrian sequentially.

TRAJECTORY PREDICTION

SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction

IEEE Winter Conference on Applications of Computer Vision 2018 xuehaouwa/SS-LSTM

Previous deep learning LSTM-based approaches focus on the neighbourhood influence of pedestrians but ignore the scene layouts in pedestrian trajectory prediction.

TRAJECTORY PREDICTION

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

CVPR 2017 yadrimz/DESIRE

DESIRE effectively predicts future locations of objects in multiple scenes by 1) accounting for the multi-modal nature of the future prediction (i. e., given the same context, future may vary), 2) foreseeing the potential future outcomes and make a strategic prediction based on that, and 3) reasoning not only from the past motion history, but also from the scene context as well as the interactions among the agents.

FUTURE PREDICTION REGRESSION TRAJECTORY PREDICTION

INFER: INtermediate representations for FuturE pRediction

26 Mar 2019talsperre/INFER

Uncharacteristic of state-of-the-art approaches, our representations and models generalize to completely different datasets, collected across several cities, and also across countries where people drive on opposite sides of the road (left-handed vs right-handed driving).

ACTIVITY PREDICTION FUTURE PREDICTION MULTI-OBJECT TRACKING TRAJECTORY PREDICTION

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

16 Oct 2018yfzhang/vehicle-motion-forecasting

The first-stage network learns feature representations of the environment using low-level LiDAR statistics and the second-stage network combines those learned features with kinematics data.

AUTONOMOUS NAVIGATION TRAJECTORY PREDICTION