4 天前 - … of an agent's motion controller rather than predicting its spacetime trajectory (as
most … world models conditioned on BehaviorNet's predictions. Our extensive experiments …

5 天前 - … reine the predictions according to the neighboring frames. Autonomous driving,
a … still accurately detect even objects with a fast motion speed, like birds and squirrels. …

7 天前 - … of low-probability risky behavior is a major challenge for autonomous driving …
drivers, this paper proposes a self-learning motion prediction framework for adaptively predicting …

7 天前 - … motion prediction endeavors in autonomous driving have inadequately encoded
future scenarios, leading to predictions … explicitly integrates initially predicted trajectories into …

7 天前 - … autonomous driving, the growing exploration of Large Language Models (LLMs) has
opened avenues for enhancing the interpretability and controllability of motion … a predicted …

8 天前 - … autonomous driving are motion … predicted state of the SMPC trajectory is used as
initial condition for a further planning problem, robust with respect to the uncertain DO motion. …

8 天前 - … S one of the key modules of autonomous driving systems, motion prediction, which
predicts the possible future trajectories of an agent based on the vehicle history and current …

10 天前 - … , and autonomous driving. However, … prediction” as the problem of simultaneously
inferring the action/interaction class and generating the involved persons’ future body motions…

10 天前 - … trajectory prediction is crucial for advancing autonomous driving and advanced
driver … Another trajectory prediction framework called motion indeterminacy diffusion (MID) is …

11 天前 - … motion planning, which is one of the fundamental tasks across many applications
like drone navigation, autonomous driving … the motion planning as a video prediction problem …